← Search

Chunyun Fu

3 accepted papers

2025

A Multi-Modal Fusion-Based 3D Multi-Object Tracking Framework With Joint Detection

RA-L 2025

In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve satisfactory tracking performance. In this letter, a new multi-object tracking framework is proposed, which integrates o

Cited by 18SourceScholar
2024

NDT-Map-Code: A 3D global descriptor for real-time loop closure detection in lidar SLAM

IROS 2024poster

Loop-closure detection, also known as place recognition, aiming to identify previously visited locations, is an essential component of a SLAM system. Existing research on lidar-based loop closure heavily relies on dense point cloud and 360 FOV lidars. This paper proposes an out-of-the-box NDT (Norma…

Cited by 1SourceScholar
2022

DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion With Deep Association

RA-L 2022

In the recent literature, on the one hand, many 3D multi-object tracking (MOT) works have focused on tracking accuracy and neglected computation speed, commonly by designing rather complex cost functions and feature extractors. On the other hand, some methods have focused too much on computation spe

Cited by 125SourcecodeScholar