Zhijun Pan

2 accepted papers

2024

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud

Zhijun Pan, Fangqiang Ding, Hantao Zhong, Chris Xiaoxuan Lu

ICRA 2024poster

Mobile autonomy relies on the precise perception of dynamic environments. Robustly tracking moving objects in 3D world thus plays a pivotal role for applications like trajectory prediction, obstacle avoidance, and path planning. While most current methods utilize LiDARs or cameras for Multiple Objec…

Cited by 13 Source ↗code ↗Scholar ↗

2022

Self-Supervised Scene Flow Estimation With 4-D Automotive Radar

Fangqiang Ding, Zhijun Pan, Yimin Deng, Jianning Deng, Chris Xiaoxuan Lu

RA-L 2022

Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy. While estimating the scene flow from LiDAR has progressed recently, it remains largely unknown how to estimate the scene flow from a 4-D radar - a

Cited by 53 Source ↗code ↗Scholar ↗