19 citations · 26 across the 16 of their papers we have counts for
4 papers · 1 filter
Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM
Jie Xu, Guanyu Huang, Wenlu Yu +5
Research trends in SLAM systems are now focusing more on multi-sensor fusion to handle challenging and degenerative environments. However, most existing multi-sensor fusion SLAM me…
RockTrack: A 3D Robust Multi-Camera-Ken Multi-Object Tracking Framework
Xiaoyu Li, Peidong Li, Lijun Zhao +5
3D Multi-Object Tracking (MOT) obtains significant performance improvements with the rapid advancements in 3D object detection, particularly in cost-effective multi-camera setups.…
I2EKF-LO: A Dual-Iteration Extended Kalman Filter Based LiDAR Odometry
Wenlu Yu, Jie Xu, Chengwei Zhao +5
LiDAR odometry is a pivotal technology in the fields of autonomous driving and autonomous mobile robotics. However, most of the current works focus on nonlinear optimization method…
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking
Xiaoyu Li, Dedong Liu, Yitao Wu +3
3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception. However, current 3D trackers face issues…