• DocumentCode
    3054576
  • Title

    Structural principles in visually guided autonomous vehicles

  • Author

    von Seelen, W. ; Janssen, H.

  • Author_Institution
    Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    302
  • Lastpage
    311
  • Abstract
    Proposes a framework of a neural information processing architecture. The authors attempt to extract the basic principles and operations typical for neural information processing and describe a hierarchical extendible system for the problem of exploration and orientation in a natural environment as an example for an ill-posed and highly complex problem. Realisations of the main elements of this processing structure are discussed
  • Keywords
    artificial intelligence; computer vision; computerised navigation; image recognition; mobile robots; neural nets; artificial intelligence; mobile robots; navigation; neural information processing architecture; neural nets; pattern recognition; visually guided autonomous vehicles; Cameras; Control systems; Evolution (biology); Information processing; Mobile robots; Network topology; Neural networks; Remotely operated vehicles; Robot vision systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201563
  • Filename
    201563