ADPD is an indoor stereo benchmark for close-range agile drone trajectories.
It provides synchronized stereo images, MoCap-derived 6-DoF annotations,
official sequence-level splits, detector annotations, and camera calibration.
It does not require LiDAR, point clouds, or dense scene reconstruction.
