Lidar Point Cloud Segmentation
LiDAR Point Cloud Segmentation is a semantic segmentation task that involves assigning categorical labels to individual points in a three-dimensional point cloud acquired via LiDAR sensors, distinguishing it from other segmentation modalities by its reliance on sparse, irregular, and geometrically structured 3D data typical of LiDAR-based environmental perception.
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2017–2026
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RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
Andres Milioto, Ignacio Vizzo, Jens Behley et al. · 2019 · 1.2K citations
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
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Wuhan University
Wuhan, China
17 h-index
62 publications
3.1K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
48 publications
3.5K citations
University of Bonn
Bonn, Germany
10 h-index
40 publications
8.3K citations

University of Waterloo
Waterloo, Canada
10 h-index
14 publications
1K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
10 h-index
24 publications
1.8K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
21 publications
2.2K citations
Xiamen University
Xiamen, China
10 h-index
41 publications
1.3K citations
University of Oxford
Oxford, United Kingdom
9 h-index
16 publications
2.1K citations
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