FAST OBSTACLE DETECTION FOR URBAN TRAFFIC SITUATIONS

This paper describes how within the DaimlerChrysler Urban Traffic Assistance (UTA) project, stereo vision and motion analysis are used in vision based driver assistance systems. The project involves a flow/depth constraint which leads to a robust and powerful detection scheme. A special algorithm is also used to achieve maximum recognition reliability.

  • Availability:
  • Supplemental Notes:
    • Publication Date: September 2002
  • Corporate Authors:

    National Institute of Advanced Science and Technology (Japan)

    ,    

    DaimlerChrysler Corporation

    Auburn Hills, MI  United States  48326-2766

    Massachusetts Institute of Technology

    Artificial Intelligence Laboratory
    Cambridge, MA  United States  02139

    Honda Gijutsu Kenkyujo

    ,    

    Universita di Parma Dipartimento di ingegneria dell informazione

    ,    

    Toyota Chuo Kenkyujo

    ,    

    Nissan Jidosha Kabushiki Kaisha

    ,    
  • Authors:
    • Franke, U
    • Heinrich, S
  • Publication Date: 2002

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00963524
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Oct 2 2003 12:00AM