Modern autonomous vehicles rely heavily on mechanical LiDARs for perception. Current perception methods generally require $360^\circ$ point clouds, collected sequentially as the LiDAR scans azimuth and acquires consecutive wedge-shaped ...

We consider a novel problem where multiple rigid convex polygonal objects rest in randomly placed positions and orientations on planar surface visible from an overhead camera. The objective is to efficiently grasp transport all into bin using multi-object push-grasps, are pushed together facilitate grasping. provide necessary conditions for frictionless push-grasps apply these filter inadmissib...

Modern multi-object tracking (MOT) systems usually build trajectories through associating per-frame detections. However, facing the challenges of camera motion, fast and occlusion, it is difficult to ensure quality long-range or even tracklet purity, especially for small objects. Most frameworks depend heavily on performance re-identification (ReID) data association. Unfortunately, ReID-based a...