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.

327

Publications

23.3K

Citations

1.1K

Authors

320

Institutions

Publications per year

2017–2026

237

Authors

1.1K

  1. XZ
    Xinge Zhu

    Chinese University of Hong Kong, Hong Kong SAR China

    11 publications · 1.3K citations

    10

    h-index

  2. JL
    Jonathan Li

    University of Waterloo, Canada

    9 publications · 421 citations

    9

    h-index

  3. CS
    Cyrill Stachniss

    University of Bonn, Germany

    8 publications · 1.8K citations

    8

    h-index

  4. YM
    Yuexin Ma

    ShanghaiTech University, China

    8 publications · 1.1K citations

    8

    h-index

  5. HZ
    Hui Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 1.1K citations

    7

    h-index

1–5 of 1.1K

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