Point Cloud Documentation

Point Cloud Documentation is a method of as-built documentation that utilizes three-dimensional laser scanning data to generate a comprehensive digital representation of existing physical conditions, distinguished from other measured drawing techniques by its reliance on dense, precise, and spatially accurate point cloud datasets for recording built environments.

13

Publications

289

Citations

49

Authors

19

Institutions

Publications per year

2017–2026

9

Authors

49

  1. RR
    Raja R. A. Issa

    University of Florida, United States

    2 publications · 68 citations

    2

    h-index

  2. MF
    Mohd Farid Mohd Ariff

    University of Technology Malaysia, Malaysia

    2 publications · 26 citations

    2

    h-index

  3. ZM
    Zulkepli Majid

    University of Technology Malaysia, Malaysia

    2 publications · 26 citations

    2

    h-index

  4. SL
    Songnian Li

    Toronto Metropolitan University, Canada

    1 publications · 29 citations

    1

    h-index

  5. IM
    Ismael M. Ibraheem

    University of Cologne, Germany

    1 publications · 14 citations

    1

    h-index

1–5 of 49