Hierarchical Spatial Representation

Hierarchical Spatial Representation is a spatial knowledge representation framework that organizes spatial entities or relationships in a multi-level structure where higher levels abstract or aggregate information from lower levels, enabling efficient reasoning and navigation through inclusion, containment, or scale-based differentiation.

155

Publications

10.9K

Citations

443

Authors

222

Institutions

Publications per year

2017–2026

35

Authors

443

  1. BK
    Benjamin Kuipers

    The University of Texas at Austin, United States

    4 publications · 1.5K citations

    4

    h-index

  2. HF
    Hongbo Fu

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 296 citations

    4

    h-index

  3. SW
    Stephan Winter

    The University of Melbourne, Australia

    4 publications · 192 citations

    4

    h-index

  4. MD
    Mauro Dalla Mura

    GIPSA-Lab, France

    3 publications · 87 citations

    3

    h-index

  5. IW
    Ian Williamson

    The University of Melbourne, Australia

    3 publications · 54 citations

    3

    h-index

1–5 of 443

Venues

  1. 6

    h-index

  2. 3

    h-index

  3. 3

    h-index

  4. Computer Graphics Forum

    3 publications · 179 citations

    3

    h-index

  5. IEEE Transactions on Image Processing

    3 publications · 500 citations

    3

    h-index

1–5