Flight Log: Difference between revisions

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Image:FirePerimeter_1.png | FireMap1  
Image:FireMap_1.png | FireMap1  
Image:FirePerimeter_2.png | FireMap2
Image:FireMap_2.png | FireMap2
Image:FirePerimeter_3.png | FireMap3
Image:FireMap_3.png | FireMap3
Image:FirePerimeter_4.png | FireMap4
Image:FireMap_4.png | FireMap4
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Revision as of 21:29, 26 July 2021

Welcome to Cooperative Unmanned Systems Laboratory (CUSL)

UAS-TALLGRASS-FIRE-2019-Data-Set

Introduction

The UAS-TALLGRASS-FIRE-2019-Data-Set was collected using KHawk Thermal-55 UAS on Oct. 8th 2019 at the KUFS Anderson County Prairie Preserve.Fire Perimeters are extracted from Registered Multitemporal Orthomosacis at the following time:

FirePerimeter_1 12:06:50-12:09:18 PM

FirePerimeter_2 12:09:34-12:10:44 PM

FirePerimeter_3 12:12:41-12:15:02 PM

FirePerimeter_4 12:15:27-12:17:47 PM

Dataset

  • FireMap1
    FireMap1
  • FireMap2
    FireMap2
  • FireMap3
    FireMap3
  • FireMap4
    FireMap4

Paper

Details of the data collection procedure can be found in our paper (Fire Evolution Mapping and Rate of Spread Measurement Using Orthorectified Thermal Imagery from a Fixed-Wing UAS) that is currently under review by International Journal of Remote Sensing.

UAS-GPS-Inertial-OpticalFlow-DataSet

Introduction

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' 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:

  • building
    building
  • grass_river
    grass_river
  • road_river_car
    road_river_car
  • road_river_pond_grassland
    road_river_pond_grassland
  • road_river_runway_building
    road_river_runway_building
  • road_river_runwy_building
    road_river_runwy_building

Dataset

video

Video-Air-Red-05272011.avi, an aerial video file collected by Phastball UAV;

GPSINSLog

Video-Air-Red-05272011.avi, the aerial video file collected by Phastball UAV;

Matlab

basic MATLAB script to show how to extract frames from video and how to plot the telemetry;

  • The video is collected by GoPro Hero camera in r5 mode (1920*1080 pixs).
  • The GoPro Hero camera is installed on a Phastball UAV with a cruise speed of about 30 m/s.

https://www.dropbox.com/s/1nyn6rk93js7re4/Video-Air-Red-05272011.avi?dl=0

  • GPSINSLog is synchrolized manually with the video file (29.97 Hz).
  • Video-Air-Red-05272011.avi contains 10648 frames and GPSINSLog is aligned with the first 10600 frames manually.

https://www.dropbox.com/s/flbdo2eeygd5q33/GPSINSRange_30Hz.mat?dl=0

https://www.dropbox.com/s/mwuaz2znrgqrtr7/plot_frame.m?dl=0 https://www.dropbox.com/s/wom3c55fl6w9pcz/Plot_nav_sensors.m?dl=0

CamCalib

The GoPro camera is calibrated using Camera calibration toolbox for MATLAB(Link)

The calibration file can be downloaded using the following link: https://www.dropbox.com/s/xg51m1093ztz77y/GoProHero_r5_Calib.mat?dl=0


Paper

https://www.dropbox.com/sh/jnpqepgcf8n3b1n/AABZnRBNX_yS7X3wi5NT20wca?dl=0

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