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Introduction

This readme file provides a brief introduction of the WVU-RED-OF-DataSet1, which is collected using Phastball UAV platform for vision-aided inertial navigation researches. The details of the data collection can be found in the authors' paper presented in ACC 2013, entitled with a comparison study of optical flow and tradional sensors in UAV navigation. Please reference our paper if you use our data. The overall file structure for each subfolder can be summarized as the following:

building grass_river road_river_car road_river_pond_grassland road_river_runway_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;
https://mega.nz/#!isRCgTyK!DxKa-eDTZHeFbg9DGX5cPVgIHLv2LuxlfTHP-lbHZc0	https://mega.nz/#!GloX1SZC!EwdzPdlPPUz5e5lmLf1XftoAofxF1eeqhilifIJXyjo	https://mega.nz/#!m0ZxEaTY!KeMbGaZsK0XQtkr8S-im6PBgDm4WQLf3Cj8pKBoEm3M; https://mega.nz/#!mwQ0yayb!0SLCkIYzjs0t5BCrH6ZwRtroNQuuZSEQkz_jOZcnfuc; https://mega.nz/#!64JkETTJ!H_n84TdjB_wZnzHkWgYWIpSuEu9ldaLRCCfunEU4Fag

CamCalib

The GoPro camera is calibrated using Camera calibration toolbox for MATLAB(Link) https://mega.nz/#!2xR2RD7K!-FuS7uaeKrMMtPWa4iFCoscaF4c6RpbAsfRIBTv8-Kw

Paper

https://mega.nz/#!SogGDbrA!2FE4U8LMWrteQWS3NLgcFV8MQjiSGo9ltR4oFtq4BDI