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Jieling Li

2 accepted papers

2022

De-snowing LiDAR Point Clouds With Intensity and Spatial-Temporal Features

ICRA 2022poster

Point clouds from 3D light detection and ranging (LiDAR) are widely used. Noise caused by falling snow reduces the availability of point clouds. Due to the sparseness of LiDAR point clouds and the fact that the snow point clouds are easily affected by multi factors such as wind or snowfall condition…

Cited by 14SourceScholar
2019

LiDAR Based Navigable Region Detection for Unmanned Surface Vehicles

IROS 2019poster

Detection of the navigable regions for the unmanned surface vehicles (USVs) sailing on the narrow rivers is very important. Existing detection methods mostly depend on the cameras, which is sensitive to environments and cannot provide reliable navigable regions for sailing. In this paper, we propose…

Cited by 14SourceScholar