3D Point Cloud Mapping

3D Point Cloud Mapping is a computational method in environment representation that generates a three-dimensional geometric model of a physical space by aggregating spatially referenced point measurements acquired from sensor data, distinguishing itself through its explicit encoding of volumetric structure via discrete, coordinate-based points.

123

Publications

7.4K

Citations

461

Authors

150

Institutions

Publications per year

2017–2026

79

Authors

461

  1. ZM
    Zoltán-Csaba Márton

    Technical University of Munich, Germany

    4 publications · 1.4K citations

    4

    h-index

  2. CW
    Cheng Wang

    Xiamen University, China

    4 publications · 144 citations

    4

    h-index

  3. TW
    Thomas Wiemann

    Osnabrück University, Germany

    4 publications · 71 citations

    4

    h-index

  4. CW
    Chenglu Wen

    Xiamen University, China

    4 publications · 144 citations

    4

    h-index

  5. JL
    Jonathan Li

    University of Waterloo, Canada

    4 publications · 144 citations

    4

    h-index

1–5 of 461

Venues

  1. Sensors

    9 publications · 385 citations

    9

    h-index

  2. 7

    h-index

  3. Remote Sensing

    7 publications · 300 citations

    7

    h-index

  4. Automation in Construction

    6 publications · 595 citations

    6

    h-index

  5. 4

    h-index

1–5