Point Cloud Mapping

Point Cloud Mapping is a methodological framework that establishes correspondences between raw 3D point cloud data and semantic or spatial representations by aligning unstructured geometric observations into structured, interpretable models for downstream analysis and visualization.

186

Publications

10.8K

Citations

707

Authors

246

Institutions

Publications per year

2017–2026

137

Authors

707

  1. AB
    Andreas Birk

    Constructor University, Germany

    3 publications · 131 citations

    3

    h-index

  2. US
    Uwe Stilla

    Technical University of Munich, Germany

    3 publications · 217 citations

    3

    h-index

  3. KJ
    Kichun Jo

    Hanyang University, South Korea

    2 publications · 37 citations

    3

    h-index

  4. JH
    Joachim Hertzberg

    Osnabrück University, Germany

    3 publications · 61 citations

    3

    h-index

  5. MF
    Maurice Fallon

    University of Oxford, United Kingdom

    3 publications · 625 citations

    3

    h-index

1–5 of 707

Venues

  1. Remote Sensing

    11 publications · 453 citations

    11

    h-index

  2. 10

    h-index

  3. 10

    h-index

  4. Sensors

    8 publications · 263 citations

    8

    h-index

  5. IEEE Robotics and Automation Letters

    6 publications · 541 citations

    7

    h-index

1–5