Aerial Point Cloud Visualization

Aerial Point Cloud Visualization is a computational method for rendering three-dimensional geospatial point cloud data acquired via aerial platforms, distinguished by its focus on the accurate visualization of exterior environments from above-surface perspectives.

3

Publications

43

Citations

11

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

11

  1. NA
    Nabil Aouf

    Cranfield University, United Kingdom

    1 publications · 14 citations

    1

    h-index

  2. BC
    B. Chethana

    Chung-Ang University, South Korea

    1 publications · 11 citations

    1

    h-index

  3. MW
    Marco Weißmann

    Ruhr University Bochum, Germany

    1 publications · 18 citations

    1

    h-index

  4. LB
    Louis-Pierre Bergé

    Université Toulouse - Jean Jaurès, France

    1 publications · 14 citations

    1

    h-index

  5. AK
    Ashok Kumar Patil

    Chung-Ang University, South Korea

    1 publications · 11 citations

    1

    h-index

1–5 of 11

Venues

  1. Frontiers in Robotics and AI

    1 publications · 18 citations

    1

    h-index

  2. Sensors

    1 publications · 11 citations

    1

    h-index

1–3