• DocumentCode
    1740876
  • Title

    Scene analysis and organization of behavior in driver assistance systems

  • Author

    von Seelen, W. ; Curio, C. ; Gayko, J. ; Handmann, U. ; Kalinke, T.

  • Author_Institution
    Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    524
  • Abstract
    To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems arose in the past years. Fully or partly autonomously guided vehicles, particularly for road traffic, pose high demands on the development of reliable algorithms. Principal problems are caused by having a moving observer in predominantly natural environments. At the Institut fur Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. We present a solution for a driver assistance system. We concentrate on the aspects of video-based scene analysis and organization of behavior
  • Keywords
    accidents; computer vision; driver information systems; road traffic; video signal processing; Institut fur Neuroinformatik; automobile industry; autonomously guided vehicles; behavior organization; computer vision; driver assistance systems; driving relevant scene analysis; moving observer; natural environments; nonrigid objects; object classification; object detection; object tracking; reliable algorithms; rigid objects; road traffic; traffic accidents reduction; video-based scene analysis; Analysis of variance; Computer vision; Data mining; Image analysis; Image color analysis; Image texture analysis; Information analysis; Layout; Object detection; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899483
  • Filename
    899483