Visual Landmark Recognition

Visual Landmark Recognition is a computational method within the field of landmark-based localization that identifies distinctive and invariant visual features in an environment to enable spatial orientation and navigation by distinguishing specific landmarks from other sensory or geometric constructs through image-based analysis.

366

Publications

15K

Citations

1.1K

Authors

398

Institutions

Publications per year

2017–2026

115

Authors

1.1K

  1. MD
    Michel Devy

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

    5 publications · 164 citations

    6

    h-index

  2. AG
    Anna Gorbenko

    Ural Federal University, Russia

    4 publications · 110 citations

    4

    h-index

  3. FA
    Fumihito Arai

    Nagoya University, Japan

    4 publications · 104 citations

    4

    h-index

  4. YT
    Yoshio Tanaka

    National Institute of Advanced Industrial Science and Technology, Japan

    4 publications · 104 citations

    4

    h-index

  5. GD
    Gregory Dudek

    McGill University, Canada

    4 publications · 216 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 174 citations

    10

    h-index

  2. IEEE Access

    10 publications · 404 citations

    10

    h-index

  3. Robotics and Autonomous Systems

    7 publications · 185 citations

    7

    h-index

  4. Sensors

    5 publications · 111 citations

    6

    h-index

  5. IEEE Transactions on Multimedia

    6 publications · 341 citations

    6

    h-index

1–5