Landmark Retrieval

Landmark Retrieval is a computational method within Landmark-Based Localization that identifies and localizes predefined reference structures in sensory input to enable spatial orientation and navigation by matching observed features with a prior map of known landmarks.

47

Publications

2.1K

Citations

162

Authors

69

Institutions

Publications per year

2017–2026

13

Authors

162

  1. TS
    Thomas S Collett

    University of Sussex, United Kingdom

    2 publications · 270 citations

    2

    h-index

  2. JK
    Jana Košecká

    George Mason University, United States

    2 publications · 92 citations

    2

    h-index

  3. CG
    Cees G. M. Snoek

    University of Amsterdam, Netherlands

    2 publications · 39 citations

    2

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  4. TM
    Tao Mei

    Microsoft Research Asia (China), China

    2 publications · 45 citations

    2

    h-index

  5. JS
    Jialie Shen

    Singapore Management University, Singapore

    2 publications · 50 citations

    2

    h-index

1–5 of 162

Venues

  1. Robotics and Autonomous Systems

    2 publications · 50 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 41 citations

    2

    h-index

  3. IEEE Multimedia

    1 publications · 19 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5