The research of 3D object detection and tracking serves the perception and understanding tasks of dynamic objects on unmanned platforms. The 3D object detection and tracking methods (published in ICCV, CVPR, IJCAI, IEEE TITS, IEEE TGRS, etc.) have ranked among the top in several international autonomous driving benchmarks. VirConv-S method ranks first in the KITTI 3D car detection and BEV car detection leaderboard (1st, 2022.11-now). The CasA++ method ranks first in the KITTI 3D Pedestrian detection (1st, 2022.11-now).