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		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
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*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, 2025 [https://arc.aiaa.org/doi/10.2514/1.C038147 (Link)]. &lt;br /&gt;
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*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
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*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/ESy3aHCdEYFGhFuvKFgIFNYBzbfJhW22VV2Je2XMTjxxmA?e=8iBU7G (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
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*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
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*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
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*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
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*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
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*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C42. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EVuM78htis9NpSkYBVqwY7wBSOn7ONQlF3ZV9-Vg55XtWA?e=2q9fG3 (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C41. Salman Rahmani, Haiyang Chao, and Zhi J. Wang, High-Order Large Eddy Simulation of Turbulent Flow With 6DOF Rigid-Body Motion, AIAA Aviation Conference, 2025 [https://arc.aiaa.org/doi/10.2514/6.2024-3955 (Link)].&lt;br /&gt;
*C40. Mosarruf H. Shawon, Haiyang Chao, and Zhenghao Lin, Estimation of Vertical Wind Velocity and Wake Parameters during UAS Wake Vortex Encounters, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2487 (Link)].&lt;br /&gt;
*C39. Zhenghao Lin, Haiyang Chao, and ZhongQuan Charlie Zheng, Wake Hazard Estimation for Small Fixed-Wing UAS Operations at Airports, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2488 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<updated>2025-03-10T13:58:53Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, accepted to appear, 2025 [https://arc.aiaa.org/doi/epdf/10.2514/1.C038147 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/ESy3aHCdEYFGhFuvKFgIFNYBzbfJhW22VV2Je2XMTjxxmA?e=8iBU7G (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C42. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EVuM78htis9NpSkYBVqwY7wBSOn7ONQlF3ZV9-Vg55XtWA?e=2q9fG3 (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C41. Salman Rahmani, Haiyang Chao, and Zhi J. Wang, High-Order Large Eddy Simulation of Turbulent Flow With 6DOF Rigid-Body Motion, AIAA Aviation Conference, 2025 [https://arc.aiaa.org/doi/10.2514/6.2024-3955 (Link)].&lt;br /&gt;
*C40. Mosarruf H. Shawon, Haiyang Chao, and Zhenghao Lin, Estimation of Vertical Wind Velocity and Wake Parameters during UAS Wake Vortex Encounters, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2487 (Link)].&lt;br /&gt;
*C39. Zhenghao Lin, Haiyang Chao, and ZhongQuan Charlie Zheng, Wake Hazard Estimation for Small Fixed-Wing UAS Operations at Airports, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2488 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2025-03-08T14:24:22Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, accepted to appear, 2025 [ (Link)]. &lt;br /&gt;
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*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
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*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/ESy3aHCdEYFGhFuvKFgIFNYBzbfJhW22VV2Je2XMTjxxmA?e=8iBU7G (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C42. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EVuM78htis9NpSkYBVqwY7wBSOn7ONQlF3ZV9-Vg55XtWA?e=2q9fG3 (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C41. Salman Rahmani, Haiyang Chao, and Zhi J. Wang, High-Order Large Eddy Simulation of Turbulent Flow With 6DOF Rigid-Body Motion, AIAA Aviation Conference, 2025 [https://arc.aiaa.org/doi/10.2514/6.2024-3955 (Link)].&lt;br /&gt;
*C40. Mosarruf H. Shawon, Haiyang Chao, and Zhenghao Lin, Estimation of Vertical Wind Velocity and Wake Parameters during UAS Wake Vortex Encounters, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2487 (Link)].&lt;br /&gt;
*C39. Zhenghao Lin, Haiyang Chao, and ZhongQuan Charlie Zheng, Wake Hazard Estimation for Small Fixed-Wing UAS Operations at Airports, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2488 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2021&amp;diff=1721</id>
		<title>UASFireWorkshop2021</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2021&amp;diff=1721"/>
		<updated>2025-03-08T14:14:25Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==2021 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 8:45 AM – 15:30 PM CDT, 2021/11/17(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: USDA-NIFA National Robotics Initiative Grant, NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Technical Presentations ===&lt;br /&gt;
Introduction &amp;amp; Opening (8:45-9:00 CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)] &lt;br /&gt;
&lt;br /&gt;
Plenary talk (9:00-9:30 CDT)&lt;br /&gt;
“Wildfire-induced cascading geohazards and programming at USDA NIFA for hazards mitigation”, Farshid Vahedifard, Mississippi State University and Steven Thomson, USDA NIFA [http://people.ku.edu/~h512c315/UASfireworkshop2021/1_ThomsonVahedifardUASFireIntegrationWorkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Tech Presentations (9:30-11:00 CDT)&lt;br /&gt;
&lt;br /&gt;
a. 9:30 – 9:45, “Fire metrics measurement using sUAS”, Haiyang Chao, University of Kansas [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EX_DaJR9XQhLm0xAsUCPMMwBS8I118t4gPXaKwcDIOrSBQ?e=urociz (PDF)]&lt;br /&gt;
&lt;br /&gt;
b. 9:45 – 10:00, “UAS data enabled operational fire spread simulation”, Xiaolin Hu, Georgia State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/3_Hu_NRI_Workshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
c. 10:00-10:15, “Smoke management for prescribed burning”, Zifei Liu, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/4_Liu_Smokeworkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
d. 10:15-10:30, “Reasons for conducting a prescribed Burn”, Walter Fick, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/5_FickBurnObj.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
e. 10:30-10:45, “Prescribed fire setting using multi-rotor UAS”, Carrick Detweiler, University of Nebraska, Lincoln and Drone Amplified [http://people.ku.edu/~h512c315/UASfireworkshop2021/6_DroneAmplified-KU-Fire-20211116.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
f. 10:45-11:00, “sUAS data sharing guidelines”, Lindsay Barbieri, Earth Science Information Partners (ESIP) [http://people.ku.edu/~h512c315/UASfireworkshop2021/7_BarberiESIPsUASDataSharingGuidelines.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Discussions ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;UAS for Wildfire Operation Discussion&#039;&#039;&#039; (11:00-12:30 CDT) –  Moderator: Haiyang Chao and Sheena Parsons&lt;br /&gt;
&lt;br /&gt;
Objective: UAS safety and wildfire integration challenges/needs&lt;br /&gt;
&lt;br /&gt;
Survey Question 1 (results in &#039;&#039;italic&#039;&#039;): What are the most critical challenges for integration of small UAS into wildfire surveillance?&lt;br /&gt;
&lt;br /&gt;
1. &#039;&#039;UAS and crew safety;&#039;&#039; &lt;br /&gt;
2. UAS capability to handle wind and turbulence;&lt;br /&gt;
3. &#039;&#039;Available information UAS can deliver,&#039;&#039; &lt;br /&gt;
4. UAS endurance, weight and size, &lt;br /&gt;
5. &#039;&#039;Dynamically changing fire environments; &#039;&#039;&lt;br /&gt;
6. FAA regulation; &lt;br /&gt;
7. Other&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 2: What is the biggest safety concern for you to use UAS in your fire operations? &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Strong wind and turbulence&#039;&#039;;&lt;br /&gt;
2. UAS flight over people on the ground; &lt;br /&gt;
&#039;&#039;3. Avoidance of terrain or other aircraft&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 3: What is the most needed wildfire information that UAS can provide during wildfire fighting?&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Fire front location and rate of spread;&#039;&#039; &lt;br /&gt;
2. Fire temperature; &lt;br /&gt;
3. Hot spot location and temperature; &lt;br /&gt;
4. Flame height&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1:&lt;br /&gt;
What type of UAS is most needed for wildfire fighting now? Size and weight limit? Sensing capability? Actuation capability (fire ball dropping)? Autonomous capability (fireline following?). Endurance and scale?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 2:&lt;br /&gt;
Human UAS interface. How can we speed up the communication between UAS and human operator during the fire fighting?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 3:&lt;br /&gt;
What are the needs from the wildfire fighters and government agency for UAS integration?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4:&lt;br /&gt;
How can we build a wildfire resilient community? How can different communities help each other? University, fire fighter, government agency.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prescribed Fire Community Discussions&#039;&#039;&#039; (13:30-15:00 CDT) – Moderator: Walter Fick and Xiaolin Hu&lt;br /&gt;
&lt;br /&gt;
Objective: how to integrate UAS and fire behavior simulation to achieve smarter and safer prescribed burning?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 1.Do you feel micro UAS (&amp;lt; 5 lbs) will be useful in prescribed fire real-time monitoring?&lt;br /&gt;
&#039;&#039;Yes.&#039;&#039; No.&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1: What are the best practices at the community level for supporting landowners’ prescribed burning? What changes that you would like to see to improve over the current practice? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 2: What challenges do you anticipate for landowners/practitioners to adopt the proposed technologies (or in general any new technologies)? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 3: What activities can be done to improve the community (the prescribed burning community, or the broader community) as a whole?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4: How can we use UAS for post fire evaluation (temporal and spatially variant environment)? Examples include Fungi, burn severity, post-burn ecology recovery.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Open Discussions&#039;&#039;&#039; (15:00-15:30 CDT) - Saket Gowravaram [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EbWsmk1tq0hDvivZLTWIOPIBIowustjgg86s7WNLfkz7ow?e=cZh4aA (PDF)]&lt;br /&gt;
&lt;br /&gt;
a. UAS and payload demonstration&lt;br /&gt;
&lt;br /&gt;
b. Fire data collection and data sharing&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2021&amp;diff=1720</id>
		<title>UASFireWorkshop2021</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2021&amp;diff=1720"/>
		<updated>2025-03-08T14:11:48Z</updated>

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&lt;br /&gt;
==2021 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 8:45 AM – 15:30 PM CDT, 2021/11/17(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: USDA-NIFA National Robotics Initiative Grant, NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Technical Presentations ===&lt;br /&gt;
Introduction &amp;amp; Opening (8:45-9:00 CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)] &lt;br /&gt;
&lt;br /&gt;
Plenary talk (9:00-9:30 CDT)&lt;br /&gt;
“Wildfire-induced cascading geohazards and programming at USDA NIFA for hazards mitigation”, Farshid Vahedifard, Mississippi State University and Steven Thomson, USDA NIFA [http://people.ku.edu/~h512c315/UASfireworkshop2021/1_ThomsonVahedifardUASFireIntegrationWorkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Tech Presentations (9:30-11:00 CDT)&lt;br /&gt;
&lt;br /&gt;
a. 9:30 – 9:45, “Fire metrics measurement using sUAS”, Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/2_Chao_UASFireMetricsMeasurement.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
b. 9:45 – 10:00, “UAS data enabled operational fire spread simulation”, Xiaolin Hu, Georgia State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/3_Hu_NRI_Workshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
c. 10:00-10:15, “Smoke management for prescribed burning”, Zifei Liu, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/4_Liu_Smokeworkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
d. 10:15-10:30, “Reasons for conducting a prescribed Burn”, Walter Fick, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/5_FickBurnObj.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
e. 10:30-10:45, “Prescribed fire setting using multi-rotor UAS”, Carrick Detweiler, University of Nebraska, Lincoln and Drone Amplified [http://people.ku.edu/~h512c315/UASfireworkshop2021/6_DroneAmplified-KU-Fire-20211116.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
f. 10:45-11:00, “sUAS data sharing guidelines”, Lindsay Barbieri, Earth Science Information Partners (ESIP) [http://people.ku.edu/~h512c315/UASfireworkshop2021/7_BarberiESIPsUASDataSharingGuidelines.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Discussions ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;UAS for Wildfire Operation Discussion&#039;&#039;&#039; (11:00-12:30 CDT) –  Moderator: Haiyang Chao and Sheena Parsons&lt;br /&gt;
&lt;br /&gt;
Objective: UAS safety and wildfire integration challenges/needs&lt;br /&gt;
&lt;br /&gt;
Survey Question 1 (results in &#039;&#039;italic&#039;&#039;): What are the most critical challenges for integration of small UAS into wildfire surveillance?&lt;br /&gt;
&lt;br /&gt;
1. &#039;&#039;UAS and crew safety;&#039;&#039; &lt;br /&gt;
2. UAS capability to handle wind and turbulence;&lt;br /&gt;
3. &#039;&#039;Available information UAS can deliver,&#039;&#039; &lt;br /&gt;
4. UAS endurance, weight and size, &lt;br /&gt;
5. &#039;&#039;Dynamically changing fire environments; &#039;&#039;&lt;br /&gt;
6. FAA regulation; &lt;br /&gt;
7. Other&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 2: What is the biggest safety concern for you to use UAS in your fire operations? &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Strong wind and turbulence&#039;&#039;;&lt;br /&gt;
2. UAS flight over people on the ground; &lt;br /&gt;
&#039;&#039;3. Avoidance of terrain or other aircraft&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 3: What is the most needed wildfire information that UAS can provide during wildfire fighting?&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Fire front location and rate of spread;&#039;&#039; &lt;br /&gt;
2. Fire temperature; &lt;br /&gt;
3. Hot spot location and temperature; &lt;br /&gt;
4. Flame height&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1:&lt;br /&gt;
What type of UAS is most needed for wildfire fighting now? Size and weight limit? Sensing capability? Actuation capability (fire ball dropping)? Autonomous capability (fireline following?). Endurance and scale?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 2:&lt;br /&gt;
Human UAS interface. How can we speed up the communication between UAS and human operator during the fire fighting?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 3:&lt;br /&gt;
What are the needs from the wildfire fighters and government agency for UAS integration?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4:&lt;br /&gt;
How can we build a wildfire resilient community? How can different communities help each other? University, fire fighter, government agency.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prescribed Fire Community Discussions&#039;&#039;&#039; (13:30-15:00 CDT) – Moderator: Walter Fick and Xiaolin Hu&lt;br /&gt;
&lt;br /&gt;
Objective: how to integrate UAS and fire behavior simulation to achieve smarter and safer prescribed burning?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 1.Do you feel micro UAS (&amp;lt; 5 lbs) will be useful in prescribed fire real-time monitoring?&lt;br /&gt;
&#039;&#039;Yes.&#039;&#039; No.&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1: What are the best practices at the community level for supporting landowners’ prescribed burning? What changes that you would like to see to improve over the current practice? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 2: What challenges do you anticipate for landowners/practitioners to adopt the proposed technologies (or in general any new technologies)? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 3: What activities can be done to improve the community (the prescribed burning community, or the broader community) as a whole?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4: How can we use UAS for post fire evaluation (temporal and spatially variant environment)? Examples include Fungi, burn severity, post-burn ecology recovery.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Open Discussions&#039;&#039;&#039; (15:00-15:30 CDT) - Saket Gowravaram [https://kansas-my.sharepoint.com/:b:/g/personal/m149s910_home_ku_edu/EbWsmk1tq0hDvivZLTWIOPIBIowustjgg86s7WNLfkz7ow?e=cZh4aA (PDF)]&lt;br /&gt;
&lt;br /&gt;
a. UAS and payload demonstration&lt;br /&gt;
&lt;br /&gt;
b. Fire data collection and data sharing&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Publication&amp;diff=1719</id>
		<title>Publication</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Publication&amp;diff=1719"/>
		<updated>2025-01-10T11:25:38Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
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&lt;br /&gt;
==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, accepted to appear, 2025 [ (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C42. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C41. Salman Rahmani, Haiyang Chao, and Zhi J. Wang, High-Order Large Eddy Simulation of Turbulent Flow With 6DOF Rigid-Body Motion, AIAA Aviation Conference, 2025 [https://arc.aiaa.org/doi/10.2514/6.2024-3955 (Link)].&lt;br /&gt;
*C40. Mosarruf H. Shawon, Haiyang Chao, and Zhenghao Lin, Estimation of Vertical Wind Velocity and Wake Parameters during UAS Wake Vortex Encounters, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2487 (Link)].&lt;br /&gt;
*C39. Zhenghao Lin, Haiyang Chao, and ZhongQuan Charlie Zheng, Wake Hazard Estimation for Small Fixed-Wing UAS Operations at Airports, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2488 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, accepted to appear, 2025 [ (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C42. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C41. Salman Rahmani, Haiyang Chao and Zhi J. Wang, High-Order Large Eddy Simulation of Turbulent Flow With 6DOF Rigid-Body Motion, AIAA Aviation Conference, 2025 [https://arc.aiaa.org/doi/10.2514/6.2024-3955 (Link)].&lt;br /&gt;
*C40. Mosarruf H. Shawon, Haiyang Chao, and Zhenghao Lin, Estimation of Vertical Wind Velocity and Wake Parameters during UAS Wake Vortex Encounters, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2487 (Link)].&lt;br /&gt;
*C39. Zhenghao Lin, Haiyang Chao and Charlie Zheng, Wake Hazard Estimation for Small Fixed-Wing UAS Operations at Airports, AIAA Atmospheric Flight Mechanics Conference, 2024 [https://arc.aiaa.org/doi/10.2514/6.2024-2488 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
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		<updated>2025-01-10T11:14:30Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
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*J20. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Benjamin C. Svoboda, and Steven G. Hagerott, System Identification for Small Flying-wing UAS Using Open-loop and Closed-loop Flight Data, AIAA Journal of Aircraft, accepted to appear, 2025 [ (Link)]. &lt;br /&gt;
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*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
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*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
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*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
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*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
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*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
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*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
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*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
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*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C39. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [https://arc.aiaa.org/doi/abs/10.2514/6.2025-1624 (Link)].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1716</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1716"/>
		<updated>2024-10-02T20:02:58Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Publication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (High-Resolution Data and Digital Twin for Wildland Fires)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and users, prescribed fire or cultural burn operators, wildfire fighters, and emergency response agency for idea exchange and discussions on community needs for fire/wind/smoke data, model, and digital twin. Please email Dr. Haiyang Chao (chaohaiyang AT ku DOT edu) for the meeting Zoomlink if you would like to join the meeting. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT) &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1715</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1715"/>
		<updated>2024-10-02T19:42:47Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: /* Introduction */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Publication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (High-Resolution Data and Digital Twin for Wildland Fires)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and users, prescribed fire or cultural burn operators, wildfire fighters, and emergency response agency for idea exchange and discussions on community needs for fire/wind/smoke data, model, and digital twin.&lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT) &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1714</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1714"/>
		<updated>2024-10-02T19:35:50Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: /* 2024 UAS Integration for Fire Operation Workshop (KU) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Publication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (High-Resolution Data and Digital Twin for Wildland Fires)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT) &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1713</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1713"/>
		<updated>2024-10-02T19:21:01Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
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                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
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                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
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                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
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        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT) &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1712</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1712"/>
		<updated>2024-10-02T19:20:37Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Publication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT), Haiyang Chao, University of Kansas  &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1711</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1711"/>
		<updated>2024-10-02T19:19:27Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Publication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT), Haiyang Chao, University of Kansas  &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1710</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1710"/>
		<updated>2024-10-02T19:19:06Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: /* 2024 UAS Integration for Fire Operation Workshop (KU) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
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&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 - 12:45 PM CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)] &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT) &lt;br /&gt;
&lt;br /&gt;
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
&lt;br /&gt;
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1709</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1709"/>
		<updated>2024-10-02T19:17:42Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
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        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
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        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2024 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, cultural burn tribes, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed/cultural fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 12:30 PM – 3:30 PM CDT, 2024/10/30(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: NSF FirePlan Grant and NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Workshop Program ===&lt;br /&gt;
Introduction &amp;amp; Opening (12:30 PM - 12:45 PM CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)] &lt;br /&gt;
&lt;br /&gt;
Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)&lt;br /&gt;
&lt;br /&gt;
12:45-1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) &amp;amp; Ming Xin (Mizzou)&lt;br /&gt;
 &lt;br /&gt;
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) &amp;amp; Derek McNamara (Geospatial Measurement Solutions, LLC)&lt;br /&gt;
&lt;br /&gt;
1:15-1:45 Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers). &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Forum 2: Fire spread model and digital twin (1:45-2:30 PM CDT) &lt;br /&gt;
1:45-2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)&lt;br /&gt;
&lt;br /&gt;
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.&lt;br /&gt;
&lt;br /&gt;
Forum 3: Community data and modeling needs (2:30-3:15 PM CDT) &lt;br /&gt;
2:30-2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)&lt;br /&gt;
&lt;br /&gt;
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires). &lt;br /&gt;
&lt;br /&gt;
Conclusion and Summary (3:15-3:30 PM CDT)&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1708</id>
		<title>UASFireWorkshop2024</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=UASFireWorkshop2024&amp;diff=1708"/>
		<updated>2024-10-02T19:13:35Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: 2024 UAS Integration for Fire Operation Workshop (KU)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
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                    &amp;lt;/div&amp;gt;&lt;br /&gt;
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                &amp;lt;/li&amp;gt;&lt;br /&gt;
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                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
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                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
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                &amp;lt;li&amp;gt;&lt;br /&gt;
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        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==2021 UAS Integration for Fire Operation Workshop (KU)==&lt;br /&gt;
[[file:KHawk55Thermal.jpg|480px|]]&lt;br /&gt;
[[file:Fire.jpg|535px|]]&lt;br /&gt;
[[file:Thermal.png|400px|]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Introduction ===&lt;br /&gt;
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed fire operations. &lt;br /&gt;
&lt;br /&gt;
Time: 8:45 AM – 15:30 PM CDT, 2021/11/17(Wednesday)&lt;br /&gt;
&lt;br /&gt;
Sponsor: USDA-NIFA National Robotics Initiative Grant, NSF Smart &amp;amp; Connected Community Grant&lt;br /&gt;
&lt;br /&gt;
Contact: Haiyang Chao, Ph.D. &amp;amp; Associate Professor, Aerospace Engineering Department, University of Kansas&lt;br /&gt;
----&lt;br /&gt;
===Technical Presentations ===&lt;br /&gt;
Introduction &amp;amp; Opening (8:45-9:00 CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)] &lt;br /&gt;
&lt;br /&gt;
Plenary talk (9:00-9:30 CDT)&lt;br /&gt;
“Wildfire-induced cascading geohazards and programming at USDA NIFA for hazards mitigation”, Farshid Vahedifard, Mississippi State University and Steven Thomson, USDA NIFA [http://people.ku.edu/~h512c315/UASfireworkshop2021/1_ThomsonVahedifardUASFireIntegrationWorkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Tech Presentations (9:30-11:00 CDT)&lt;br /&gt;
&lt;br /&gt;
a. 9:30 – 9:45, “Fire metrics measurement using sUAS”, Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/2_Chao_UASFireMetricsMeasurement.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
b. 9:45 – 10:00, “UAS data enabled operational fire spread simulation”, Xiaolin Hu, Georgia State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/3_Hu_NRI_Workshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
c. 10:00-10:15, “Smoke management for prescribed burning”, Zifei Liu, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/4_Liu_Smokeworkshop.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
d. 10:15-10:30, “Reasons for conducting a prescribed Burn”, Walter Fick, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/5_FickBurnObj.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
e. 10:30-10:45, “Prescribed fire setting using multi-rotor UAS”, Carrick Detweiler, University of Nebraska, Lincoln and Drone Amplified [http://people.ku.edu/~h512c315/UASfireworkshop2021/6_DroneAmplified-KU-Fire-20211116.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
f. 10:45-11:00, “sUAS data sharing guidelines”, Lindsay Barbieri, Earth Science Information Partners (ESIP) [http://people.ku.edu/~h512c315/UASfireworkshop2021/7_BarberiESIPsUASDataSharingGuidelines.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
===Discussions ===&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;UAS for Wildfire Operation Discussion&#039;&#039;&#039; (11:00-12:30 CDT) –  Moderator: Haiyang Chao and Sheena Parsons&lt;br /&gt;
&lt;br /&gt;
Objective: UAS safety and wildfire integration challenges/needs&lt;br /&gt;
&lt;br /&gt;
Survey Question 1 (results in &#039;&#039;italic&#039;&#039;): What are the most critical challenges for integration of small UAS into wildfire surveillance?&lt;br /&gt;
&lt;br /&gt;
1. &#039;&#039;UAS and crew safety;&#039;&#039; &lt;br /&gt;
2. UAS capability to handle wind and turbulence;&lt;br /&gt;
3. &#039;&#039;Available information UAS can deliver,&#039;&#039; &lt;br /&gt;
4. UAS endurance, weight and size, &lt;br /&gt;
5. &#039;&#039;Dynamically changing fire environments; &#039;&#039;&lt;br /&gt;
6. FAA regulation; &lt;br /&gt;
7. Other&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 2: What is the biggest safety concern for you to use UAS in your fire operations? &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Strong wind and turbulence&#039;&#039;;&lt;br /&gt;
2. UAS flight over people on the ground; &lt;br /&gt;
&#039;&#039;3. Avoidance of terrain or other aircraft&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 3: What is the most needed wildfire information that UAS can provide during wildfire fighting?&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;1. Fire front location and rate of spread;&#039;&#039; &lt;br /&gt;
2. Fire temperature; &lt;br /&gt;
3. Hot spot location and temperature; &lt;br /&gt;
4. Flame height&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1:&lt;br /&gt;
What type of UAS is most needed for wildfire fighting now? Size and weight limit? Sensing capability? Actuation capability (fire ball dropping)? Autonomous capability (fireline following?). Endurance and scale?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 2:&lt;br /&gt;
Human UAS interface. How can we speed up the communication between UAS and human operator during the fire fighting?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 3:&lt;br /&gt;
What are the needs from the wildfire fighters and government agency for UAS integration?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4:&lt;br /&gt;
How can we build a wildfire resilient community? How can different communities help each other? University, fire fighter, government agency.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prescribed Fire Community Discussions&#039;&#039;&#039; (13:30-15:00 CDT) – Moderator: Walter Fick and Xiaolin Hu&lt;br /&gt;
&lt;br /&gt;
Objective: how to integrate UAS and fire behavior simulation to achieve smarter and safer prescribed burning?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Survey Question 1.Do you feel micro UAS (&amp;lt; 5 lbs) will be useful in prescribed fire real-time monitoring?&lt;br /&gt;
&#039;&#039;Yes.&#039;&#039; No.&lt;br /&gt;
&lt;br /&gt;
Discussion Question 1: What are the best practices at the community level for supporting landowners’ prescribed burning? What changes that you would like to see to improve over the current practice? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 2: What challenges do you anticipate for landowners/practitioners to adopt the proposed technologies (or in general any new technologies)? &lt;br /&gt;
&lt;br /&gt;
Discussion Question 3: What activities can be done to improve the community (the prescribed burning community, or the broader community) as a whole?&lt;br /&gt;
&lt;br /&gt;
Discussion Question 4: How can we use UAS for post fire evaluation (temporal and spatially variant environment)? Examples include Fungi, burn severity, post-burn ecology recovery.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Open Discussions&#039;&#039;&#039; (15:00-15:30 CDT) - Saket Gowravaram [http://people.ku.edu/~h512c315/UASfireworkshop2021/SaketUASFireWorkshop_Data_final.pdf (PDF)]&lt;br /&gt;
&lt;br /&gt;
a. UAS and payload demonstration&lt;br /&gt;
&lt;br /&gt;
b. Fire data collection and data sharing&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Outreach&amp;diff=1707</id>
		<title>Outreach</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Outreach&amp;diff=1707"/>
		<updated>2024-10-02T19:11:45Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&amp;lt;/html&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===Workshop===&lt;br /&gt;
2021/11/17 The First UAS Integration for Fire Operation Workshop&lt;br /&gt;
https://cusl.ku.edu/UASFireWorkshop2021&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
2024/10/30 The Second UAS Integration for Fire Operation Workshop&lt;br /&gt;
https://cusl.ku.edu/UASFireWorkshop2024&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Rocket Launch===&lt;br /&gt;
AE 430 final project (2015) with the help from Kevin Ruland.&lt;br /&gt;
&lt;br /&gt;
[[file:Rock1.png|200px|]]&lt;br /&gt;
[[file:Rock2.jpg|200px|]]&lt;br /&gt;
[[file:Rock3.jpg|200px|]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Jayhawk RC Club===&lt;br /&gt;
&lt;br /&gt;
CUSL UAS flight demo during JayHawk Model Airplane flight day.&lt;br /&gt;
&lt;br /&gt;
[[file:CUSL_Outreach.jpg|1000px|]]&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Publication&amp;diff=1706</id>
		<title>Publication</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Publication&amp;diff=1706"/>
		<updated>2024-09-06T14:07:58Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&lt;br /&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C39. Mosarruf H. Shawon, Haiyang Chao, Matthew Rhudy, Tor A. Johansen, Pengzhi Tian, Harold Patrick Flanagan, and Jacksen Goyer, Vertical Wind Velocity Estimation during UAS Fire Plume Encounters, AIAA Atmospheric Flight Mechanics Conference, 2025 [ accepted, to appear].&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Teaching&amp;diff=1705</id>
		<title>Teaching</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Teaching&amp;diff=1705"/>
		<updated>2024-08-12T03:36:57Z</updated>

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==&#039;&#039;&#039;Courses&#039;&#039;&#039;==&lt;br /&gt;
[[file:Rock1.png|right|200px|]]&lt;br /&gt;
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===&#039;&#039;&#039;AE 551 Flight Dynamics II (Spring 2023/2024)&#039;&#039;&#039;===&lt;br /&gt;
&lt;br /&gt;
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===&#039;&#039;&#039;AE 430 Aerospace Instrumentation (Spring 2014-2022)&#039;&#039;&#039;===&lt;br /&gt;
&lt;br /&gt;
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&#039;&#039;&#039;Class Outline:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Chapter 1. Fourier Transform&lt;br /&gt;
&lt;br /&gt;
Chapter 2. Sampling Theory&lt;br /&gt;
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Chapter 3. Instrument Specifications&lt;br /&gt;
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Chapter 4. Measurement Errors &lt;br /&gt;
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Chapter 5. Data Acquisition &lt;br /&gt;
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Chapter 6. Data Analysis and Filter Design  &lt;br /&gt;
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Chapter 7. Sensor Calibration &lt;br /&gt;
&lt;br /&gt;
Chapter 8. Aerospace Sensors (Analog/Digital) &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===&#039;&#039;&#039;AE 752 Linear Multivariable Control (Fall 2014/2016)&#039;&#039;&#039;===&lt;br /&gt;
&lt;br /&gt;
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&#039;&#039;&#039;Class Outline:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Chapter 1. Introduction &amp;amp; Review&lt;br /&gt;
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Chapter 2. State Space Representation&lt;br /&gt;
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Chapter 3. Solution of Linear Systems (LTI/LTV)&lt;br /&gt;
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Chapter 4. System Stability&lt;br /&gt;
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Chapter 5. Cooperative Control&lt;br /&gt;
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Chapter 6. Controllability and Observability &lt;br /&gt;
&lt;br /&gt;
Chapter 7. State Feedback Control and State Feedback Regulator&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===&#039;&#039;&#039;AE 759 Estimation and Control of Unmanned Autonomous Systems  (Fall 2015)&#039;&#039;&#039;===&lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
&#039;&#039;&#039;Class Outline:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Chapter 1. Introduction to Unmanned Autonomous System&lt;br /&gt;
&lt;br /&gt;
Chapter 2. Kinematics &amp;amp; Dynamics&lt;br /&gt;
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Chapter 3. Navigation Sensors&lt;br /&gt;
&lt;br /&gt;
Chapter 4. Kalman Filter&lt;br /&gt;
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Chapter 5. Complementary Filter&lt;br /&gt;
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Chapter 6. State Estimation for Unmanned Autonomous Systems&lt;br /&gt;
&lt;br /&gt;
Chapter 7. Cascaded PID Controller for Trajectory Tracking&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2024-08-12T03:35:32Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
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		<updated>2024-08-12T03:35:11Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
*J20&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
&lt;br /&gt;
*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
&lt;br /&gt;
*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
&lt;br /&gt;
*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
&lt;br /&gt;
*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
&lt;br /&gt;
*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2024-03-02T15:39:16Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
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*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
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*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*P3. Saket Gowravaram, Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, Ph.D. Dissertation, Feb. 2022.&lt;br /&gt;
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*P2. Harold Flanagan, Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, Ph.D. Dissertation, May 2021.&lt;br /&gt;
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*P1. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June 2020.&lt;br /&gt;
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*M3. Jacksen Goyer, NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2022.&lt;br /&gt;
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*M2. Justin J. Matt, System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing, M.S. Thesis [ (PDF)], May 2022.&lt;br /&gt;
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*M1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2023-12-28T16:30:01Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and Economic Feasibility of Applying Fuel Cells as the Power Source of Unmanned Aerial Vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<updated>2023-12-28T16:29:15Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and economic feasibility of applying fuel cells as the power source of unmanned aerial vehicles, Energy Conversion and Management, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<updated>2023-12-28T16:28:25Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J19. Gabriel Mariscal, Christopher Depcik, Haiyang Chao, Gang Wu, and Xianglin Li, Technical and economic feasibility of applying fuel cells as the power&lt;br /&gt;
source of unmanned aerial vehicles, 2024 [https://www.sciencedirect.com/science/article/pii/S0196890423013511 (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Students&amp;diff=1698</id>
		<title>Students</title>
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		<updated>2023-05-26T14:27:53Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Future students (Ph.D. Scholarship Opening for Spring 2024)&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
We have one Ph.D. research assistant opening in Fall 2022 on sensing, estimation, and control of extreme aerial robot/UAS in the research group of Associate Prof. Haiyang Chao in the Aerospace Engineering Department at the University of Kansas. The successful candidates will work on developing optimal estimation algorithms and smart controllers for autonomous aerospace vehicles to operate in extreme environments (e.g. wildfire, strong wind and turbulence such as wake vortex).&lt;br /&gt;
&lt;br /&gt;
Current research topics include:&lt;br /&gt;
&lt;br /&gt;
(1) wind and turbulence sensing and estimation using single or multiple unmanned aircraft,&lt;br /&gt;
&lt;br /&gt;
(2) modeling and prediction of wind and turbulence effect on nextGeneration unmanned aircraft system (e.g., gust, fire plume, wake vortex),&lt;br /&gt;
&lt;br /&gt;
(3) smart controller design for small UAS to handle extreme wind and turbulence.&lt;br /&gt;
&lt;br /&gt;
We offer:&lt;br /&gt;
&lt;br /&gt;
(1) Great opportunities to work on autonomous robotic hardware and software to solve real world sensing, perception, estimation, and control problem for next generation autonomous systems.&lt;br /&gt;
&lt;br /&gt;
(2) You will have the chance to play with high fidelity sensors (e.g., 5-hole probe, RTK GPS, thermal camera, 3D ultrasonic wind anemometer) and UAS platforms (including Paparazzi and Pixhawk autopilot).&lt;br /&gt;
&lt;br /&gt;
(3) Good salary and full tuition waiver as graduate research assistants.&lt;br /&gt;
&lt;br /&gt;
Applicants should hold a B.S. or M.S. degree in related fields. Desired candidates should have strong background and interests in at least two of the following areas: &lt;br /&gt;
&lt;br /&gt;
(1) Stochastic estimation filter design (e.g. EKF), &lt;br /&gt;
&lt;br /&gt;
(2) System dynamics and control theory (e.g., PID/LQR) &lt;br /&gt;
&lt;br /&gt;
(3) MATLAB/C programming &amp;amp; embedded systems. &lt;br /&gt;
&lt;br /&gt;
Students with experiences on Remote Controlled (RC) airplanes and Paparazzi /Pixhawk are especially welcomed to apply.&lt;br /&gt;
&lt;br /&gt;
Please contact Associate Professor Haiyang Chao (chaohaiyangATku.edu) for initial evaluation with (1) &amp;quot;2022 Fall PhD Application&amp;quot; in the title, (2) A paragraph in the main body of the email to summarize your related research experiences and your motivation to get a Ph.D. in our group, (3) Detailed CV, (4) TOEFL scores if you are an international student (GRE is NOT required for KU AE graduate admission).&lt;br /&gt;
The KU Aerospace Engineering Program is ranked at 37th nationwide according to the U.S. News &amp;amp; World Report&#039;s America&#039;s Best Colleges, 2018 issue. Kansas hosts aerospace corporations including Textron Aviation (Beechcraft, Cessna and Hawker aircraft), Bombardier Learjet, Spirit AeroSystems, Garmin, and AeroEnvironment.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Current students&#039;&#039;&#039;==&lt;br /&gt;
===Doctoral Students===&lt;br /&gt;
&lt;br /&gt;
Zhenghao Lin (2021)&lt;br /&gt;
&lt;br /&gt;
Ph.D. student &lt;br /&gt;
&lt;br /&gt;
Department of Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
lin.zhenghao@ku.edu&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Mosarruf Hossain Shawon (2021)&lt;br /&gt;
&lt;br /&gt;
Ph.D. student &lt;br /&gt;
&lt;br /&gt;
Department of Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
mosarruf@ku.edu&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Tianyu Han (2023)&lt;br /&gt;
&lt;br /&gt;
Ph.D. student &lt;br /&gt;
&lt;br /&gt;
Department of Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
hty@ku.edu&lt;br /&gt;
&lt;br /&gt;
===Master Students===&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Undergraduate Students===&lt;br /&gt;
&lt;br /&gt;
Ben Svoboda (2021 - now), Senior, KU Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
Adam Baruth (2022 - now), Junior, KU Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
Daniel Estingoy (2023 - now), Sophomore, KU Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
Nicholas A. Georgiou (2023 - now), Junior, KU Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Alumni&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
Dr. Saket Navalur Gowravaram (2018 - 2022), Ph.D. Dissertation: Multispectral Remote Sensing and Spatiotemporal Mapping of the Environment and Natural Disasters Using Small UAS, KU Aerospace Engineering. First Stop after Graduation: Post Doctoral Fellow at University of Texas, Austin. &lt;br /&gt;
&lt;br /&gt;
Dr. Harold Flanagan (2016 - 2021), Ph.D. Dissertation: Coupled System Identification, Flight Controller Design, and Wind Sensing Using KHawk Flying Wing UAS, KU Aerospace Engineering. &lt;br /&gt;
&lt;br /&gt;
Dr. Pengzhi Tian (2014 - 2020), Ph.D. Dissertation: Sensing and Estimation of Airflow Angles and Atmospheric Winds for Unmanned Aerial Vehicles, KU Aerospace Engineering. First Stop after Graduation: Cruise LLC. &lt;br /&gt;
&lt;br /&gt;
Jacksen Goyer (2019 - 2022), M.S. Thesis: NIR Imagery based Grass Fire Detection and Metrics Measurement using Small UAS. First Stop after Graduation: Lockheed Martin.&lt;br /&gt;
&lt;br /&gt;
Justin Matt (2020 - 2022), M.S. Thesis: System Identification and Model-based Controller Tuning and Evaluation for Small Flying-wing UAS, KU Aerospace Engineering. First Stop after Graduation: NASA Langley. &lt;br /&gt;
&lt;br /&gt;
Megan Carlson (Summer 2021) KU Aerospace Engineering.&lt;br /&gt;
&lt;br /&gt;
Luke Hersh (2022 - 2023), B.S., KU Aerospace Engineering.  First Stop after Graduation: Spirit Aerospace&lt;br /&gt;
&lt;br /&gt;
Connor Liam Kinkade (2019 - 2021), B.S. KU Aerospace Engineering. First Stop after Graduation: Raytheon&lt;br /&gt;
&lt;br /&gt;
Nidhin Ninan (2018 - 2019), B.S., KU Aerospace Engineering&lt;br /&gt;
&lt;br /&gt;
Jeremy Isaac Katz (2017 - 2018), B.S., KU Aerospace Engineering. First Stop after Graduation: Enviro Systems Inc.&lt;br /&gt;
&lt;br /&gt;
Zorig Bat (2013), Senior, KU Aerospace Engineering.&lt;br /&gt;
&lt;br /&gt;
Elizabeth S. O&#039;Neil (2013 - 2014), B.S., KU Aerospace Engineering. First Stop after Graduation: Garmin.&lt;br /&gt;
&lt;br /&gt;
Ying He (2015 - 2016), B.S. KU Electrical Engineering. First Stop after Graduation: M.S. Student, University of Southern California.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Visiting Scholars&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
Dr. Guirong Wang (2015 - 2016), Associate Professor, China Jiliang University, Hangzhou, Zhejiang, China&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
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		<title>Publication</title>
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		<updated>2023-05-20T00:22:14Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
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*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin,, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
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		<updated>2023-05-20T00:21:33Z</updated>

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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J18. Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, and Ming Xin,, Prescribed Fire Simulation with Dynamic Ignitions using Data from UAS-based Sensing Journal of Simulation, DOI: 10.1080/17477778.2023.2217335, 2023 [: https://doi.org/10.1080/17477778.2023.2217335 (Link)].&lt;br /&gt;
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*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [http://ieeexplore.ieee.org/document/10077739 (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
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*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1109/JSTARS.2023.3255230, 2023 (accepted to appear) [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [ (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
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*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2023-03-09T18:03:21Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
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==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
*J17. Saket Gowravaram, Haiyang Chao, Zhenghao Lin, Sheena Parsons, Tiebiao Zhao, Ming Xin, Xiaolin Hu, Pengzhi Tian, Harold Flanagan, and Guanghui Wang, Prescribed Grass Fire Mapping and Rate of Spread Measurement Using NIR Images from a Small Fixed-Wing UAS, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), DOI: 10.1080/01431161.2022.2044538, 2023 (accepted to appear) [https://people.ku.edu/~h512c315/Journal/NIR_UAS_Grass_Fire_JSATR_Final_small.pdf (PDF)]  [ (Link)].&lt;br /&gt;
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*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
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*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
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*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
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*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
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*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
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*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
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*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
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*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2023-02-27T21:57:00Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Salman K. Rahmani, Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2023-02-27T21:56:18Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
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*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
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*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
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*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C38. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C37. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C35. Rahmani, Salman K., Zhi J. Wang, Justin Matt, Haiyang Chao, and Charlie Zheng. &amp;quot;Comparison of low-and high-order CFD based estimates of forces, moments and aerodynamic coefficients with UAS flight test data.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4065. 2022 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2022-4065 (Link)].&lt;br /&gt;
*C34. Lin, Zhenghao Lin,Justin Matt, Haiyang Chao, Charlie Zheng, and Mark Ewing. &amp;quot;Wake Vortex Encounter Modeling and Simulation for Small Fixed-Wing UAS with Inner Loop Attitude Controller.&amp;quot; In AIAA AVIATION 2022 Forum, p. 4066. 2022 [(PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-4066 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
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		<title>Publication</title>
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		<updated>2023-01-31T20:29:46Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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==&#039;&#039;&#039;Book &amp;amp; Book Chapters&#039;&#039;&#039;==&lt;br /&gt;
*3.Haiyang Chao, YangQuan Chen, Remote Sensing and Actuation Using Unmanned Vehicles, Wiley IEEE Press, August 2012 [http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118122763,miniSiteCd-IEEE2.html (LINK)]&lt;br /&gt;
&lt;br /&gt;
*2.Yu Gu, Jason Gross, Francis Barchesky, Haiyang Chao, Marcello Napolitano, Avionics Design for a Sub-Scale Fault-Tolerant Flight Control Test-Bed, Aircraft Technologies, IN-TECH, pp. 21-45, 2012 [http://www.intechopen.com/books/recent-advances-in-aircraft-technology/avionic-design-for-a-sub-scale-fault-tolerant-flight-control-test-bed- (LINK)].&lt;br /&gt;
&lt;br /&gt;
*1.Haiyang Chao, Austin Jensen, Yiding Han, YangQuan Chen, and Mac McKee, AggieAir: Towards Low-cost Cooperative Multispectral Remote Sensing Using Small Unmanned Aircraft Systems, Advances in Geoscience and Remote Sensing, Gary Jedlovec, Ed. Vukovar, Croatia: IN-TECH, pp. 463-490, 2009 [http://www.intechopen.com/books/advances-in-geoscience-and-remote-sensing/aggieair-towards-low-cost-cooperative-multispectral-remote-sensing-using-small-unmanned-aircraft-sys (LINK)].&lt;br /&gt;
&lt;br /&gt;
==&#039;&#039;&#039;Journal Papers&#039;&#039;&#039;==&lt;br /&gt;
&lt;br /&gt;
*J16. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)]  [https://www.tandfonline.com/doi/abs/10.1080/01431161.2022.2044538 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J15. Saket Gowravaram, Haiyang Chao, Andrew Molthan, Tiebiao Zhao, Pengzhi Tian, Harold Flanagan, Lori Schultz, and Jordan Bell, Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method, Photogrammetric Engineering &amp;amp; Remote Sensing (PE&amp;amp;RS), Volume 87, Number 10, pp. 735-746, 2021 [http://people.ku.edu/~h512c315/PERS_2021_smallsize.pdf (PDF)] [https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000010/art00009 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J14. Pengzhi Tian, Haiyang Chao, Matthew Rhudy, Jason Gross, and Huixuan Wu, Wind Sensing and Estimation Using Small Fixed-Wing UAVs: A Survey, AIAA Journal of Aerospace Information Systems (JAIS), 18, no. 3 (2021): 132-143 [http://people.ku.edu/~h512c315/WindSurveyJAIS_2020.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010885 (Link)].&lt;br /&gt;
&lt;br /&gt;
*J13. Pengzhi Tian, Haiyang Chao, Harold Flannagan, Steven G. Hagerott, and Yu Gu, Design and Evaluation of Flow Angle Estimation Filters, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 55, Issue 1, 2019 [http://people.ku.edu/~h512c315/AOAAOS_TAES_final.pdf (PDF)] [https://ieeexplore.ieee.org/document/8401906/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J12. Chuan Yan, Huazhen Fang, and Haiyang Chao, Energy-Aware Leader-Follower Tracking Control for Electric-Powered Multi-Agent Systems, Control Engineering Practice (CEP), Vol. 79, pp. 209-218, 2018 [https://www.sciencedirect.com/science/article/pii/S0967066118303344 (Link)].&lt;br /&gt;
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*J11. Matthew Rhudy, Yu Gu, Jason Gross, and Haiyang Chao, Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems, IEEE Transactions on Aerospace and Electronic Systems (TAES), Vol. 53, No. 1, pp.55-66, 2017 [http://ieeexplore.ieee.org/document/7807266/definitions?ctx=definitions (Link)]. &lt;br /&gt;
&lt;br /&gt;
*J10. Haiyang Chao, Yu Gu, Jason Gross, Matthew Rhudy, and Marcello Napolitano, Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems (JAIS), Vol. 13, No. 11, pp.419-432, 2016 [http://people.ku.edu/~h512c315/JAIS WideFieldOptFlow.pdf (PDF)] [https://arc.aiaa.org/doi/abs/10.2514/1.I010482 (Link)].&lt;br /&gt;
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*J9. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Marcello Napolitano, Tanmay Mandal, and Matthew Rhudy, Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds, International Journal of Aerospace Engineering, Article ID 9517654, 2016 [https://www.hindawi.com/journals/ijae/2016/9517654/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J8. Matthew Rhudy, Mario L. Fravolini, Yu Gu, Marcello R. Napolitano, Srikanth Gururajan, Haiyang Chao, Aircraft Model Independent Airspeed Estimation without Pitot Tube Measurements, IEEE Transactions on Aerospace and Electronic Systems (TAES), July, 2015 [http://ieeexplore.ieee.org/document/7272846/ (Link)].&lt;br /&gt;
&lt;br /&gt;
*J7. Matthew Rhudy, Yu Gu, Haiyang Chao, Jason Gross, Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors, Journal of Robotics, Article ID 251379, 2015 [http://www.hindawi.com/journals/jr/aa/251379/ (Link)].&lt;br /&gt;
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*J6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Flow Techniques for Robotics Navigation Applications, Journal of Intelligent and Robotics Systems, vol. 74, pp:361-372, 2014 [https://link.springer.com/article/10.1007/s10846-013-9923-6 (Link)].&lt;br /&gt;
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*J5. Ying Luo, Haiyang Chao, Long Di, and YangQuan Chen, Lateral Directional Fractional Order PI^\alpha Control of A Small Fixed-Wing UAV: Controller Designs and Flight Tests, IET Control Theory and Applications, vol.18, no.5, pp.2156-2167, 2011.&lt;br /&gt;
&lt;br /&gt;
*J4. Haiyang Chao, Ying Luo, Long Di, and YangQuan Chen, Roll-Channel Fractional Order Controller Design for a Small Fixed-Wing Unmanned Aerial Vehicle, Control Engineering Practice, vol.18, no.7, pp.761-772, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/CEP_FOC_UAV.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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*J3. Haiyang Chao, Yongcan Cao, and YangQuan Chen, Autopilots for Small Unmanned Aerial Vehicles: A Survey, International Journal of Control, Automation and Systems (IJCAS), vol.8, no.1, pp.36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/5_IJCAS_v8_n1_pp.36-44.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J2. Haiyang Chao and YangQuan Chen, Cooperative Sensing and Distributed Control of a Diffusion Process Using Centroidal Voronoi Tessellations, Numerical Mathematics: Theory, Methods and Applications (NMTMA), vol.8, no.1:36-44, 2010 [https://sites.google.com/site/haiyangchaoweb1/home/papers/NMTMA_CVTMasnet.pdf?attredirects=0 (PDF)].&lt;br /&gt;
&lt;br /&gt;
*J1.Wei Ren, Haiyang Chao, William Bourgeous, Nathan Sorensen, and YangQuan Chen, Experimental Validation of Consensus Algorithms for Multi-vehicle Cooperative Control, IEEE Transactions on Control Systems Technology (TCST), vol.16, 4:745-752, 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/TCST.pdf?attredirects=0 (PDF)].&lt;br /&gt;
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==&#039;&#039;&#039;Thesis &amp;amp; Dissertation&#039;&#039;&#039;==&lt;br /&gt;
*2. Pengzhi Tian, Sensing and Estimation of Airflow Angles and Atmospheric Winds for Small Unmanned Aerial Vehicles, Ph.D. Dissertation, June, 2020.&lt;br /&gt;
&lt;br /&gt;
*1. Saket Gowravaram, Multispectral Remote Sensing of the Earth and Environment Using KHawk Unmanned Aircraft Systems, M.S. Thesis [http://people.ku.edu/~h512c315/SaketMSThesis2017.pdf (PDF)], July, 2017.&lt;br /&gt;
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==&#039;&#039;&#039;Selected Conference Papers&#039;&#039;&#039;==&lt;br /&gt;
*C36. Justin Matt, Haiyang Chao, Mosarruf H. Shawon, Steven G. Hagerott, and Benjamin C. Svoboda, Longitudinal System Identification for a Small Flying-wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0628 (Link)].&lt;br /&gt;
*C35. Justin Matt and Haiyang Chao, Efficient Frequency Response Identification for Small Fixed-Wing UAS Using Closed-Loop Flight Data, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [ (PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0629 (Link)].&lt;br /&gt;
*C34. Justin Matt, Haiyang Chao, Zhenghao Lin, and ZhongQuan Charlie Zheng, Simplified Wake Vortex Encounter Modeling and Inner Loop Controller Analysis for Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2023 [(PDF)][https://arc.aiaa.org/doi/10.2514/6.2023-0801 (Link)].&lt;br /&gt;
*C33. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Fire monitoring and metric measurements using low-cost UAS and Satellite Multispectral Data, 102nd American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2022 [(Presentation)].&lt;br /&gt;
*C32. Justin Matt, Steven G. Hagerott, Benjamin C. Svoboda, Haiyang Chao, and Harold Flanagan, Frequency Domain System Identification of a Small Flying-Wing UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2022 [http://people.ku.edu/~h512c315/AFM_2022_Final_Manuscript_v8.pdf (PDF)][https://arc.aiaa.org/doi/abs/10.2514/6.2022-2407 (Link)].&lt;br /&gt;
*C31. Saket Gowravaram, Haiyang Chao, Harold Flanagan, Pengzhi Tian, Jacksen Goyer, Ming Xin, and Xiaolin Hu, Wildland Fire Monitoring and Mapping Using Orthorectified Near-Infrared and Thermal UAS Imagery, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C30. Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Wind and Turbulence Estimation during Wildland Fire using KHawk Fixed-Wing UAS, 101th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2021 [(Presentation)].&lt;br /&gt;
*C29. Justin Matt, Harold Flanagan, and Haiyang Chao, Evaluation and Analysis of ArduPilot Automatic Tuning Algorithm for the Roll Tracking Controller of a Small UAS, AIAA SCITech Atmospheric Flight Mechanics Conference, 2021 [https://arc.aiaa.org/doi/abs/10.2514/6.2021-0016 (Link)].&lt;br /&gt;
*C28. Harold Flanagan, Haiyang Chao, and YangQuan Chen, Lateral Fractional Order Controller Design and Tuning for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2020 [https://ieeexplore.ieee.org/abstract/document/9213906 (Link)].&lt;br /&gt;
*C27. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Nathaniel Brunsell, and Tiebiao Zhao, Radiometric Correction of Digital UAS Multispectral Imagery Using Free and Open Satellite Surface Reflectance Images, 100th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2020 [https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/369005 (Presentation)].&lt;br /&gt;
*C26. Harold Flanagan, Haiyang Chao, and Steven G. Hagerott, Model Based Roll Controller Tuning and Frequency Domain Analysis for a Flying-Wing UAS, International Conference on Unmanned Aircraft Systems, 2019 [https://ieeexplore.ieee.org/abstract/document/8798212 (Link)].&lt;br /&gt;
*C25. Pengzhi Tian, Haiyang Chao, and Huixuan Wu, UAS-based Wind Estimation Using Sinusoidal Gust Model, AIAA Atmospheric Flight Mechanics Conference, January, 2019 [https://arc.aiaa.org/doi/abs/10.2514/6.2019-1597 (Link)].&lt;br /&gt;
*C24. Saket Gowravaram, Haiyang Chao, Andrew L. Molthan, Lori A. Schultz, Jordan R. Bell, Pengzhi Tian, and Harold Flanagan, Evaluating the 22nd June 2017 South Dakota Hail Damage Using KHawk UAS: Accuracy Quantification and Cross Validation with Satellite Imagery, submitted under review, 99th American Meteorological Society Annual Meeting, Special Symposium on Meteorological Observations and Instrumentation, 2019 [https://ams.confex.com/ams/2019Annual/meetingapp.cgi/Paper/351427 (Presentation)].&lt;br /&gt;
*C23. Saket Gowravaram, Pengzhi Tian, Harold Flanagan, Jacksen Hugh Goyer, and Haiyang Chao, UAS-based Multispectral Remote Sensing and NDVI Calculation for Post Disaster Assessment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453314 (Link)].&lt;br /&gt;
*C22. Harold Flanagan, Steven G. Hagerott, and Haiyang Chao, Model Based Roll Controller Tuning and Analysis for Small UAS in Turbulence Environment, International Conference on Unmanned Aircraft Systems, 2018 [https://ieeexplore.ieee.org/document/8453442 (Link)].&lt;br /&gt;
*C21. Pengzhi Tian and Haiyang Chao, Model Aided Estimation of Angle of Attack, Sideslip Angle, and 3D Wind without Flow Angle Measurements, AIAA Guidance, Navigation, and Control Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1844 (Link)].&lt;br /&gt;
*C20. Saket Gowravaram, Harold Flanagan, Pengzhi Tian, and Haiyang Chao, Prescribed Fire Monitoring Using KHawk Unmanned Aircraft Systems, AIAA Infotech Conference, January, 2018 [https://arc.aiaa.org/doi/abs/10.2514/6.2018-1491 (Link)] [http://people.ku.edu/~h512c315/FireUAS_UMS2018.pdf (PDF)].&lt;br /&gt;
*C19. Ringkowski, Michael, and Haiyang Chao. &amp;quot;State estimation using inertial optical flows for a fixed-wing UAS.&amp;quot; Unmanned Aircraft Systems (ICUAS), 2017 International Conference on. IEEE, 2017 [http://ieeexplore.ieee.org/abstract/document/7991376/ (link)].&lt;br /&gt;
*C18. Haiyang Chao, Kevin Brink, and Mikel Miller, Collaborative Stereo Vision Based Relative Pose Estimation with Small UAS Formation, ION Pacific PNT Conference, May, 2017 [https://www.ion.org/publications/abstract.cfm?articleID=15021 (Link)].&lt;br /&gt;
*C17. Pengzhi Tian, Anpeng He, Haiyang Chao, ZhongQuan Charlie Zheng, and Yu Gu, Wake Encounter Simulation and Flight Validation with UAV Close Formation Flight , AIAA Guidance, Navigation, and Control Conference, 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1910 (link)].&lt;br /&gt;
*C16. Haiyang Chao, Harold Flanagon, Pengzhi Tian, and Steve Hagerott, Flight Test Investigation of Stall/Spin Detection Techniques for a Flying Wing UAS, AIAA Atmospheric Flight Mechanics (AFM), 2017 [https://arc.aiaa.org/doi/abs/10.2514/6.2017-1631 (link)].&lt;br /&gt;
*C15. Pengzhi Tian, Haiyang Chao, Yu Gu, and Steve Hagerott, UAV Flight Test Evaluation of Fusion Algorithms for Estimation of Angle of Attack and Sideslip Angle, AIAA Guidance, Navigation, and Control Conference, 2016 [https://arc.aiaa.org/doi/abs/10.2514/6.2016-0645 (link)].&lt;br /&gt;
*C14. Haiyang Chao, Yu Gu, Pengzhi Tian, ZhongQuan Zheng, Marcello Napolitano, “Wake Vortex Detection with UAV Close Formation Flight”, AIAA Atmospheric Flight Mechanics (AFM), June, 2015 [https://arc.aiaa.org/doi/abs/10.2514/6.2015-2396 (link)]. &lt;br /&gt;
*C13. Matthew Rhudy, Haiyang Chao, and Yu Gu, Wide Field Optical Flow Aided Inertial Navigation for Unmanned Aerial Vehicles, IEEE International Conference on Intelligent Robots and Systems (IROS), September, 2014 [http://ieeexplore.ieee.org/document/6942631/ (link)]&lt;br /&gt;
*C12. Trenton Larrabee, Haiyang Chao, Matthew Rhudy, Yu Gu, and Marcello Napolitano, Wind field estimation in UAV formation flight, American Control Conference (ACC), June, 2014 [http://ieeexplore.ieee.org/document/6859266/ (link)]. &lt;br /&gt;
*C11. Caleb Rice, Yu Gu, Haiyang Chao, Trenton Larrabee, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Tanmay Mandal, Matthew Rhudy, Design, Control performance analysis for autonomous close formation flight experiments, International Conference on Unmanned Aicraft Systems, August, 2014 [http://ieeexplore.ieee.org/document/6842372/ (link)].&lt;br /&gt;
*C10. Trenton Larrabee, Haiyang Chao, Tanmay Mandal, Srikanth Gururajan, Yu Gu, Marcello Napolitano, Design, Simulation, and Flight Test Validation of a UAV Ground Control Station for Aviation Safety Research and Pilot Modeling, AIAA Guidance, Navigation, and Control Conference, August, 2013 [https://sites.google.com/site/haiyangchao/GNC2013_Larrabee_GCS.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C9. Matthew Rhudy, Trenton Larrabee, Haiyang Chao, Yu Gu, and Marcello R. Napolitano, UAV Attitude, Heading, and Wind Estimation Using GPS/INS and an Air Data System, AIAA Guidance, Navigation, and Control Conference, August, 2013.&lt;br /&gt;
*C8. Daniele Tancredi, Yu Gu, Haiyang Chao, Fault Tolerant Formation Flight Control Using Different Adaptation Techniques,  International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_AdaptiveFlt.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C7. Haiyang Chao, Yu Gu, Jason Gross, Guodong Guo, Mario L. Fravolini, and Marcello Napolitano, A Comparative Study of Optical Flow and Traditional Sensors for UAV Navigation, American Control Conference, June, 2013 [https://sites.google.com/site/haiyangchao/ACC2013_OF_Calibration_final.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C6. Haiyang Chao, Yu Gu, and Marcello Napolitano, A Survey of Optical Optical Flow for UAV Navigation Applications, International Conference on Unmanned Aircraft Systems, May, 2013 [https://sites.google.com/site/haiyangchao/ICUAS13_OF_Survey.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C5.Long Di, Haiyang Chao, Jinlu Han, and YangQuan Chen, Cognitive Multi-UAV Formation Flight: Principle, Low-Cost UAV Testbed, Controller Tuning and Experiments, ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA), Aug. 2011.&lt;br /&gt;
*C4. Haiyang Chao, Cal Coopmans, Long Di, and YangQuan Chen, A comparative evaluation of low-cost IMUs for unmanned autonomous systems, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Sep. 2010 [https://sites.google.com/site/haiyangchao/IMU_evaluation_0_6.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C3. Long Di, Haiyang Chao, and YangQuan Chen, A Two-stage Calibration Method for Low-cost UAV Attitude Estimation Using Infrared Sensor, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010.&lt;br /&gt;
*C2. Hu Sheng, Haiyang Chao, Cal Coopmans, Jinlu Han, Mac McKee, and YangQuan Chen, Low-Cost-UAV Based Thermal Infrared Remote Sensing: Platform, Calibration and Applications,  IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA), Jul. 2010 [https://sites.google.com/site/haiyangchao/HushengThermalUAV.pdf?attredirects=0&amp;amp;d=1 (PDF)].&lt;br /&gt;
*C1. Haiyang Chao, Marc Baumann, Austin M. Jensen, YangQuan Chen, Yongcan Cao, Wei Ren, and Mac McKee, Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control, International Federation of Automatic Control World Congress, Jul., 2008 [https://sites.google.com/site/haiyangchaoweb1/home/papers/ChaoIFACWC07.pdf?attredirects=0 (PDF)].&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1688</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1688"/>
		<updated>2022-12-20T00:08:31Z</updated>

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== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
The time labels for the fire front in the above three maps can be downloaded from [https://people.ku.edu/~h512c315/NIRFireData/NIR_TimeLabel.zip (Time Label LINK)]. The three above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (UAS-TALLGRASS-NIR)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
The four above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1687</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1687"/>
		<updated>2022-12-20T00:02:40Z</updated>

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== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (PNG LINK)]&lt;br /&gt;
&lt;br /&gt;
The three above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (UAS-TALLGRASS-NIR)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
The four above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1686</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1686"/>
		<updated>2022-12-20T00:01:59Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Pubication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
The three above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (UAS-TALLGRASS-NIR)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
The four above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1685</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1685"/>
		<updated>2022-12-19T19:54:03Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
The four above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyang A*T ku D*O*T edu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1684</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1684"/>
		<updated>2022-12-19T19:53:21Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
The four above fire maps in GEOTIFF can be requested by sending an email to Dr. Haiyang Chao (chaohaiyangA*TkuD*O*Tedu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1683</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1683"/>
		<updated>2022-12-19T19:52:39Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;Faculty&amp;lt;/a&amp;gt;&lt;br /&gt;
                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Pubication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
GEOTIFFs of the four above fire maps can be requested by sending an email to Dr. Haiyang Chao (chaohaiyangA*TkuD*O*Tedu). Please put &amp;quot;Request for GEOTIFF (IJRS-UAS-TALLGRASS-Thermal)&amp;quot; in the email title. &lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1682</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1682"/>
		<updated>2022-12-06T22:48:17Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|200px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1681</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1681"/>
		<updated>2022-12-06T22:46:49Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
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&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|190px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1680</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1680"/>
		<updated>2022-12-06T22:46:35Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
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                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
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                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
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    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|180px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1679</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1679"/>
		<updated>2022-12-06T22:46:18Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
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== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|175px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1678</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1678"/>
		<updated>2022-12-06T22:45:38Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|150px|]]&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown on the left for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1677</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1677"/>
		<updated>2022-12-06T22:44:52Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|150px|]]&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown here for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1676</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1676"/>
		<updated>2022-12-06T22:38:58Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
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                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
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        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown here for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:NIR_Thermal_Comparison.png | &lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[File:NIR_Thermal_Comparison.png|left|150px|]]&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1675</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1675"/>
		<updated>2022-12-06T22:37:47Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;html&amp;gt;&lt;br /&gt;
&amp;lt;div id=&amp;quot;cusl-header&amp;quot;&amp;gt;&lt;br /&gt;
    &amp;lt;div id=&amp;quot;cusl-header-border&amp;quot;&amp;gt;&lt;br /&gt;
        &amp;lt;div id=&amp;quot;cusl-header-title&amp;quot;&amp;gt;&lt;br /&gt;
            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
        &amp;lt;div&amp;gt;&lt;br /&gt;
            &amp;lt;ul id=&amp;quot;navigation&amp;quot;&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Main_Page&amp;quot;&amp;gt;Home&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Professor&amp;quot;&amp;gt;People&amp;lt;/a&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
                    &amp;lt;div class=&amp;quot;people-sub&amp;quot;&amp;gt;&lt;br /&gt;
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                        &amp;lt;a href=&amp;quot;/Students&amp;quot;&amp;gt;Students&amp;lt;/a&amp;gt;&lt;br /&gt;
                    &amp;lt;/div&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Research&amp;quot;&amp;gt;Research&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/Pubication&amp;quot;&amp;gt;Publications&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Teaching&amp;quot;&amp;gt;Teaching&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Outreach&amp;quot;&amp;gt;Outreach&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Gallery&amp;quot;&amp;gt;Gallery&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=Flight_Log&amp;quot;&amp;gt;Flight Log&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
                &amp;lt;li&amp;gt;&lt;br /&gt;
                    &amp;lt;a href=&amp;quot;/index.php?title=News&amp;quot;&amp;gt;News&amp;lt;/a&amp;gt;&lt;br /&gt;
                &amp;lt;/li&amp;gt;&lt;br /&gt;
            &amp;lt;/ul&amp;gt;&lt;br /&gt;
        &amp;lt;/div&amp;gt;&lt;br /&gt;
    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown here for some comparison (top: thermal, bottom: NIR). &lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:NIR_Thermal_Comparison.png | &lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
	<entry>
		<id>https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1674</id>
		<title>Flight Log</title>
		<link rel="alternate" type="text/html" href="https://cusl.ku.edu/index.php?title=Flight_Log&amp;diff=1674"/>
		<updated>2022-12-06T22:37:17Z</updated>

		<summary type="html">&lt;p&gt;Chaohaiyang: &lt;/p&gt;
&lt;hr /&gt;
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            Welcome to Cooperative Unmanned Systems Laboratory (CUSL)&lt;br /&gt;
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                &amp;lt;li class=&amp;quot;people&amp;quot;&amp;gt;&lt;br /&gt;
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    &amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/html&amp;gt;&lt;br /&gt;
== I. UAS-TALLGRASS-PRESCIBED-FIRE-2019-NIR-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019- NIR-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). &lt;br /&gt;
&lt;br /&gt;
Fire Perimeters are extracted from Registered Multitemporal NIR Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1 12:07:03-12:09:19 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2 12:12:41-12:15:03 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3 12:15:26-12:17:47 PM (CDT)&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: Modified GoPro Hero 4 Black NIR Camera. An example thermal and NIR image pair is shown here for some comparison. &lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:NIR_Thermal_Comparison.png | top: thermal, bottom: NIR.&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
=== Data Set ===&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 1 12:07:03-12:09:19 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map1Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 2 12:12:41-12:15:03 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map3Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
Fire NIR Othomap 3 12:15:26-12:17:47 PM (CDT) &lt;br /&gt;
[https://people.ku.edu/~h512c315/NIRFireData/Map4Fire_CUSL.png (LINK)]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper ===&lt;br /&gt;
&lt;br /&gt;
Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing for consideration of publication. &lt;br /&gt;
&lt;br /&gt;
== II. UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
The UAS-TALLGRASS-PRESCIBED-FIRE-2019-Thermal-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve (38.182073, -95.275708, close to Welda KS). Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_1			12:06:50-12:09:18 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_2			12:09:34-12:10:44 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_3			12:12:41-12:15:02 PM&lt;br /&gt;
&lt;br /&gt;
FirePerimeter_4			12:15:27-12:17:47 PM&lt;br /&gt;
&lt;br /&gt;
UAS sensing payload: FLIR Vue Pro R thermal camera.&lt;br /&gt;
&lt;br /&gt;
Vegetation: C4 tallgrasses and a mixture of herbaceous forbs and legumes.&lt;br /&gt;
&lt;br /&gt;
Weather: temperature at 73 deg. F, humidity at 41%, wind velocity (2 m) at 6.26 m/s mostly from the South.&lt;br /&gt;
&lt;br /&gt;
Terrain: mostly flat.&lt;br /&gt;
&lt;br /&gt;
Fire setting pattern: ring fire with two groups starting the fire from the center of the north boundary and ending the firing at about the center of the south boundary.&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
=== Dataset===&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:FireMap_1.png | FireMap1 &lt;br /&gt;
Image:FireMap_2.png | FireMap2&lt;br /&gt;
Image:FireMap_3.png | FireMap3&lt;br /&gt;
Image:FireMap_4.png | FireMap4&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
Details of the data collection procedure can be found in our paper on International Journal of Remote Sensing. Saket Gowravaram, Haiyang Chao, Tiebiao Zhao, Sheena Parsons, Xiaolin Hu, Ming Xin, Harold Flanagan, and Pengzhi Tian, Prescribed Grass Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS, International Journal of Remote Sensing (IJRS), DOI: 10.1080/01431161.2022.2044538, 2022 [https://people.ku.edu/~h512c315/FireMonitoring_IJRS_ProofRead.pdf (PDF)].&lt;br /&gt;
&lt;br /&gt;
== III. UAS-GPS-Inertial-OpticalFlow-DataSet==&lt;br /&gt;
=== Introduction===&lt;br /&gt;
{|width=&amp;quot;100%&amp;quot; cellpadding=&amp;quot;2&amp;quot; cellspacing=&amp;quot;5&amp;quot; style=&amp;quot;vertical-align:top;background-color:#f5fffa&amp;quot;&lt;br /&gt;
|-valign=&amp;quot;top&amp;quot;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
A brief introduction of the WVU-KU-RED-OF-DataSet1, which is collected using WVU Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors&#039; two papers ACC 2013 (a comparison study of optical flow and traditional sensors in UAV navigation) and JAIS 2016 (Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow, AIAA Journal of Aerospace Information Systems, Vol. 13, No. 11, pp.419-432). Please reference our papers if you use our data. The overall file structure for each subfolder can be summarized as the following:&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:Flt0527_Building.png | building&lt;br /&gt;
Image:Flt0527_grass_river_rd.png | grass_river&lt;br /&gt;
Image:Flt0527_road_river_car.png | road_river_car&lt;br /&gt;
Image:Flt0527_road_river_pond_grassland.png | road_river_pond_grassland&lt;br /&gt;
Image:Flt0527_road_river_runway_building.png | road_river_runway_building&lt;br /&gt;
Image:Flt0527_road_river_runwy_building.png | road_river_runwy_building&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
=== Dataset===&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot; style=&amp;quot;width:80%&amp;quot;&lt;br /&gt;
| style=&amp;quot;padding: 5px;text-align: center;&amp;quot;| &#039;&#039;&#039;video&#039;&#039;&#039;&lt;br /&gt;
Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;GPSINSLog&#039;&#039;&#039;   &lt;br /&gt;
Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;&lt;br /&gt;
| style=&amp;quot;padding: 20px;text-align: center;&amp;quot;| &#039;&#039;&#039;Matlab&#039;&#039;&#039;&lt;br /&gt;
basic MATLAB script to show how to extract frames from video and how to plot the telemetry;&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
*The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).&lt;br /&gt;
*The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.&lt;br /&gt;
https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0&lt;br /&gt;
|&lt;br /&gt;
*GPSINSLog is synchrolized manually with the video file (29.97 Hz).&lt;br /&gt;
*Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.&lt;br /&gt;
&lt;br /&gt;
https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0&lt;br /&gt;
|&lt;br /&gt;
https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0&lt;br /&gt;
https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===CamCalib===&lt;br /&gt;
{| id=&amp;quot;mp-left&amp;quot; style=&amp;quot;width:100%; vertical-align:top; background:#FBF7F7;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;color:#000;&amp;quot; | &amp;lt;div id=&amp;quot;mp-tfa&amp;quot; style=&amp;quot;padding:2px 5px&amp;quot;&amp;gt; The GoPro camera is calibrated using Camera calibration toolbox for MATLAB[http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/parameters.html (Link)]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The calibration file can be downloaded using the following link:&#039;&#039;&#039;&lt;br /&gt;
https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0&lt;br /&gt;
|-&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== Paper===&lt;br /&gt;
https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0&lt;/div&gt;</summary>
		<author><name>Chaohaiyang</name></author>
	</entry>
</feed>