3 citations · 5 across the 3 of their papers we have counts for
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cs.RO2023
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking
Zhongyang Zhu, Junqiao Zhao, Kai Huang +3
Simultaneous localization and mapping (SLAM) is critical to the implementation of autonomous driving. Most LiDAR-inertial SLAM algorithms assume a static environment, leading to un…
cs.RO2022★ 3 cited
DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization
Xuebo Tian, Zhongyang Zhu, Junqiao Zhao +2
Ego-pose estimation and dynamic object tracking are two critical problems for autonomous driving systems. The solutions to these problems are generally based on their respective as…
cs.RO2022★ 2 cited
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization
Xuebo Tian, Junqiao Zhao, Chen Ye
Ego-pose estimation and dynamic object tracking are two key issues in an autonomous driving system. Two assumptions are often made for them, i.e. the static world assumption of sim…