Point Cloud Localization

Point Cloud Localization is a computational method that determines the precise spatial position and orientation of a point cloud within a global or reference coordinate system by aligning it with a prior map or dataset through geometric, probabilistic, or learning-based registration techniques.

86

Publications

3.5K

Citations

309

Authors

114

Institutions

Publications per year

2017–2026

66

Authors

309

  1. CW
    Chunxiang Wang

    Shanghai Jiao Tong University, China

    5 publications · 121 citations

    5

    h-index

  2. MY
    Ming Yang

    Shanghai Jiao Tong University, China

    5 publications · 121 citations

    5

    h-index

  3. FP
    François Pomerleau

    ETH Zurich, Switzerland

    3 publications · 303 citations

    3

    h-index

  4. LG
    Lindong Guo

    Shanghai Jiao Tong University, China

    3 publications · 82 citations

    3

    h-index

  5. YW
    Yue Wang

    Zhejiang University of Technology, China

    2 publications · 211 citations

    2

    h-index

1–5 of 309

Venues

  1. Remote Sensing

    4 publications · 106 citations

    4

    h-index

  2. Sensors

    4 publications · 173 citations

    4

    h-index

  3. IEEE Robotics and Automation Letters

    3 publications · 231 citations

    3

    h-index

  4. Advanced Engineering Informatics

    1 publications · 32 citations

    2

    h-index

  5. 2

    h-index

1–5