The Blackbird unmanned aerial vehicle (UAV) dataset is a large-scale indoor dataset collected using a custom-built quadrotor platform for use in evaluation of agile perception. The dataset contains over 10 hours of flight data from 168 flights over 17 flight trajectories and 5 environments at velocities up to 8.0 m/s. Each flight includes sensor data from 120 Hz stereo and downward-facing photorealistic virtual cameras, 100 Hz IMU, 190 Hz motor speed sensors, and 360 Hz millimeter-accurate...
Topics: UAV, aggressive, dataset, drone racing, VIO, SLAM, perception
Source: http://academictorrents.com/details/eb542a231dbeb2125e4ec88ddd18841a867c2656
