Lidar-based Perception

LiDAR-Based Perception is a computational framework within agricultural robotics that uses light detection and ranging (LiDAR) sensor data to construct precise three-dimensional environmental representations for the purpose of enabling autonomous decision-making in crop and terrain analysis.

248

Publications

12K

Citations

914

Authors

298

Institutions

Publications per year

2017–2026

189

Authors

914

  1. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    4 publications · 411 citations

    4

    h-index

  2. CV
    Constantino Valero Ubierna

    Universidad Politécnica de Madrid, Spain

    3 publications · 52 citations

    3

    h-index

  3. FH
    Foad Hajiaghajani

    Purdue University West Lafayette, United States

    3 publications · 161 citations

    3

    h-index

  4. FK
    Fanze Kong

    University of Hong Kong, Hong Kong SAR China

    3 publications · 162 citations

    3

    h-index

  5. MH
    Michael Himmelsbach

    Universität der Bundeswehr München, Germany

    3 publications · 252 citations

    3

    h-index

1–5 of 914

Venues

  1. Sensors

    15 publications · 539 citations

    14

    h-index

  2. Computers and Electronics in Agriculture

    7 publications · 323 citations

    9

    h-index

  3. IEEE Robotics and Automation Letters

    8 publications · 478 citations

    8

    h-index

  4. arXiv (Cornell University)

    Repository · 8 publications · 223 citations

    8

    h-index

  5. 7

    h-index

1–5