2 citations · 4 across the 5 of their papers we have counts for
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cs.RO2024
SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments
Zehuan Yu, Zhijian Qiao, Wenyi Liu +2
LiDAR point cloud maps are extensively utilized on roads for robot navigation due to their high consistency. However, dense point clouds face challenges of high memory consumption…
cs.RO2024
Speak the Same Language: Global LiDAR Registration on BIM Using Pose Hough Transform
Zhijian Qiao, Haoming Huang, Chuhao Liu +4
Light detection and ranging (LiDAR) point clouds and building information modeling (BIM) represent two distinct data modalities in the fields of robot perception and construction.…
cs.RO2024★ 2 cited
Incorporating Point Uncertainty in Radar SLAM
Yang Xu, Qiucan Huang, Shaojie Shen +1
Radar SLAM is robust in challenging conditions, such as fog, dust, and smoke, but suffers from the sparsity and noisiness of radar sensing, including speckle noise and multipath ef…