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cs.RO2024
TRLO: An Efficient LiDAR Odometry with 3D Dynamic Object Tracking and Removal
Yanpeng Jia, Ting Wang, Xieyuanli Chen +1
Simultaneous state estimation and mapping is an essential capability for mobile robots working in dynamic urban environment. The majority of existing SLAM solutions heavily rely on…
cs.RO2024★ 2 cited
CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments
Yanpeng Jia, Fengkui Cao, Ting Wang +3
Most LiDAR odometry and SLAM systems construct maps in point clouds, which are discrete and sparse when zoomed in, making them not directly suitable for navigation. Mesh maps repre…