Lidar Odometry

LiDAR Odometry is a method in robotic perception that estimates the six-degrees-of-freedom motion of a sensor platform by aligning consecutive LiDAR point clouds through spatial registration, distinguishing itself from other odometry techniques by relying exclusively on light detection and ranging data for pose estimation.

325

Publications

28.7K

Citations

968

Authors

280

Institutions

Publications per year

2017–2026

296

Authors

968

  1. FZ
    Fu Zhang

    University of Hong Kong, Hong Kong SAR China

    17 publications · 4K citations

    17

    h-index

  2. WX
    Wei Xu

    University of Hong Kong, Hong Kong SAR China

    9 publications · 3K citations

    10

    h-index

  3. TD
    Timothy D. Barfoot

    University of Toronto, Canada

    5 publications · 253 citations

    7

    h-index

  4. AK
    Ayoung Kim

    Korea Advanced Institute of Science and Technology, South Korea

    7 publications · 418 citations

    7

    h-index

  5. LH
    Li‐Ta Hsu

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 218 citations

    6

    h-index

1–5 of 968

Venues

  1. IEEE Robotics and Automation Letters

    33 publications · 3.5K citations

    27

    h-index

  2. arXiv (Cornell University)

    Repository · 22 publications · 666 citations

    15

    h-index

  3. IEEE Sensors Journal

    12 publications · 457 citations

    13

    h-index

  4. Sensors

    15 publications · 545 citations

    13

    h-index

  5. The International Journal of Robotics Research

    IJRR · 6 publications · 1.5K citations

    8

    h-index

1–5