The view-graph approach to visual navigation and spatial memory

Hanspeter A. Mallot, Matthias Franz, Bernhard Schölkopf, Heinrich H. Bülthoff

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    This paper describes a purely visual navigation scheme based on two elementary mechanisms (piloting and guidance) and a graph structure combining individual navigation steps controlled by these mechanisms. In robot experiments in real environments, both mechanisms have been tested, piloting in an open environment and guidance in a maze with restricted movement opportunities. The results indicate that navigation and path planning can be brought about with these simple mechanisms. We argue that the graph of local views (snapshots) is a general and biologically plausible means of representing space and integrating the various mechanisms of map behaviour.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings
    EditorsWulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud
    PublisherSpringer Verlag
    Pages751-756
    Number of pages6
    ISBN (Print)3540636315, 9783540636311
    DOIs
    Publication statusPublished - 1997
    Event7th International Conference on Artificial Neural Networks, ICANN 1997 - Lausanne, Switzerland
    Duration: 1997 Oct 81997 Oct 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1327
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other7th International Conference on Artificial Neural Networks, ICANN 1997
    Country/TerritorySwitzerland
    CityLausanne
    Period97/10/897/10/10

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 1997.

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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