Localization Using Lidar

Localization Using LiDAR is a robotic localization method that determines a robot's position and orientation within an environment by matching real-time LiDAR-derived three-dimensional point cloud data against a prior map or through simultaneous localization and mapping, distinguished from other localization techniques by its reliance on high-resolution laser scanning for precise, vision-independent spatial awareness.

380

Publications

19.1K

Citations

1.3K

Authors

373

Institutions

Publications per year

2017–2026

274

Authors

1.3K

  1. KY
    Keisuke Yoneda

    Kanazawa University, Japan

    7 publications · 320 citations

    7

    h-index

  2. PN
    Paul Newman

    University of Oxford, United Kingdom

    6 publications · 260 citations

    6

    h-index

  3. MA
    Mohammad Aldibaja

    Kanazawa University, Japan

    5 publications · 183 citations

    5

    h-index

  4. BW
    Bernardo Wagner

    Leibniz University Hannover, Germany

    5 publications · 115 citations

    5

    h-index

  5. JH
    Juha Hyyppä

    Finnish Geospatial Research Institute, Finland

    5 publications · 286 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Sensors

    26 publications · 1K citations

    19

    h-index

  2. IEEE Robotics and Automation Letters

    16 publications · 665 citations

    15

    h-index

  3. 8

    h-index

  4. Journal of Field Robotics

    JFR · 8 publications · 375 citations

    8

    h-index

  5. 7

    h-index

1–5