Object-based Spatial Representation

Object-Based Spatial Representation is a spatial knowledge representation method that organizes environmental space by identifying and structuring discrete, bounded entities as primary primitives, distinguishing it from field- or region-based approaches through its focus on individual objects and their attributes, relations, and boundaries.

96

Publications

5.3K

Citations

261

Authors

149

Institutions

Publications per year

2017–2026

14

Variants

Object-oriented Spatial Representation

Authors

261

  1. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    3 publications · 59 citations

    3

    h-index

  2. SV
    Shrihari Vasudevan

    Australian Centre for Robotic Vision, Australia

    3 publications · 32 citations

    3

    h-index

  3. MB
    Marlene Behrmann

    Carnegie Mellon University, United States

    3 publications · 291 citations

    3

    h-index

  4. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    3 publications · 32 citations

    3

    h-index

  5. SP
    Shaun P. Vecera

    University of Iowa, United States

    3 publications · 150 citations

    3

    h-index

1–5 of 261

Venues

  1. 8

    h-index

  2. 4

    h-index

  3. Journal of Experimental Psychology General

    3 publications · 150 citations

    3

    h-index

  4. Cerebral Cortex

    3 publications · 202 citations

    3

    h-index

  5. Journal of Cognitive Neuroscience

    3 publications · 87 citations

    3

    h-index

1–5