Semantic Landmark Localization

Semantic Landmark Localization is a landmark-based localization method that incorporates high-level semantic information to identify and match meaningful environmental features, distinguishing itself from traditional geometric or appearance-based approaches by leveraging object-level context and semantic categorization for improved interpretability and robustness in spatial reasoning tasks.

29

Publications

1.4K

Citations

114

Authors

39

Institutions

Publications per year

2017–2026

21

Authors

114

  1. GJ
    George J. Pappas

    University of Pennsylvania, United States

    2 publications · 542 citations

    2

    h-index

  2. XP
    Xi Peng

    University of Delaware, United States

    2 publications · 72 citations

    2

    h-index

  3. YH
    Yewei Huang

    Stevens Institute of Technology, United States

    2 publications · 44 citations

    2

    h-index

  4. XH
    Xudong He

    Nanjing University of Aeronautics and Astronautics, China

    2 publications · 44 citations

    2

    h-index

  5. KD
    Kostas Daniilidis

    University of Pennsylvania, United States

    2 publications · 542 citations

    2

    h-index

1–5 of 114

Venues

  1. 2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 31 citations

    2

    h-index

  3. Sensors

    2 publications · 115 citations

    2

    h-index

  4. 1

    h-index

  5. Computers Environment and Urban Systems

    1 publications · 10 citations

    1

    h-index

1–5