Landmark Matching

Landmark Matching is the computational process of identifying correspondences between observed environmental features and known reference points in a predefined map, distinguishing itself by enabling pose estimation and localization through relational invariance to sensor position and environmental variability.

242

Publications

17.2K

Citations

782

Authors

308

Institutions

Publications per year

2017–2026

79

Authors

782

  1. LM
    Lok Ming Lui

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 394 citations

    6

    h-index

  2. DL
    David Lowe

    University of British Columbia, Canada

    4 publications · 1.7K citations

    4

    h-index

  3. SL
    Simon Lacroix

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    4 publications · 126 citations

    4

    h-index

  4. KC
    Ka Chun Lam

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 362 citations

    4

    h-index

  5. CZ
    Christopher Zach

    ETH Zurich, Switzerland

    3 publications · 577 citations

    3

    h-index

1–5 of 782

Venues

  1. IEEE Access

    5 publications · 115 citations

    5

    h-index

  2. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 5 publications · 955 citations

    5

    h-index

  3. Robotics and Autonomous Systems

    4 publications · 142 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 46 citations

    4

    h-index

  5. 3

    h-index

1–5