Youjin Yu — accepted AI-conference papers

2026

EES: A Data-Driven End-To-End Escorting System Via Spatiotemporal Feature Fusion

Youjin Yu, Junxiang Li, Bowen Li, Tao Wu, Huijing Zhao

ICRA 2026poster

This letter presents a technique that allows unmanned vehicles to escort a human to their destinations. Current human-centered following methods depend solely on human movement, which presents significant limitations. The complexity of human movement during tactical maneuvers can lead to erratic veh…

Cited by 0 Source ↗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 ↗