Shouzheng Qi — accepted AI-conference papers

2025

MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Xiyang Wang, Shouzheng Qi, Jieyou Zhao, Hangning Zhou, Siyu Zhang, Guoan Wang +6

IROS 2025

This paper introduces MCTrack, a new 3D multi-object tracking method that achieves performance across KITTI, nuScenes, and Waymo datasets. Addressing the gap in existing tracking paradigms, which often perform well on specific datasets but lack generalizability, MCTrack offers a unified solution. Ad

Cited by 27 Source ↗code ↗Scholar ↗

2025

Simpler Is Better: Revisiting Doppler Velocity for Enhanced Moving Object Tracking with FMCW LiDAR

Yubin Zeng, Tao Wu, Shouzheng Qi, Junxiang Li, Xingyu Duan, Youjin Yu

IROS 2025

Real-time and accurate perception of dynamic objects is crucial for autonomous driving. To better capture the motion information of objects, some methods now employ 4D Doppler point clouds collected by frequency-modulated continuous-wave (FMCW) LiDAR to enhance the detection and tracking of moving o

Cited by 1 Source ↗code ↗Scholar ↗