Point Cloud Fusion

Point Cloud Fusion is a computational method that integrates multiple point cloud datasets into a single coherent representation by aligning and merging spatially overlapping 3D geometry while preserving structural detail and minimizing redundancy.

516

Publications

27.1K

Citations

1.9K

Authors

523

Institutions

Publications per year

2017–2026

421

Authors

1.9K

  1. US
    Uwe Stilla

    Technical University of Munich, Germany

    7 publications · 188 citations

    7

    h-index

  2. LH
    Ludwig Hoegner

    Technical University of Munich, Germany

    6 publications · 156 citations

    6

    h-index

  3. XX
    Xiao Xiang Zhu

    Technical University of Munich, Germany

    5 publications · 195 citations

    5

    h-index

  4. GV
    George Vosselman

    University of Twente, Netherlands

    5 publications · 163 citations

    5

    h-index

  5. ZS
    Ziying Song

    Hebei University of Science and Technology, China

    4 publications · 141 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. Sensors

    25 publications · 693 citations

    18

    h-index

  2. Remote Sensing

    22 publications · 683 citations

    18

    h-index

  3. arXiv (Cornell University)

    Repository · 15 publications · 633 citations

    14

    h-index

  4. 13

    h-index

  5. 12

    h-index

1–5