A MODEL BASED PRECEDING VEHICLE DETECTION

Proposes a new algorithm to detect preceding vehicles from video image sequence taken by an on-board video camera. The advantage of a system using the image sequence analysis is that neither any infrastructure nor any intercommunication between vehicles is required. Vehicle models are represented by 3-D wire frame, and matching is made between edge groups and a projected image of a 3-D vehicle model.

  • Supplemental Notes:
    • Publication Date: 1992 Published By: Automotive Automation Limited, Croydon, England
  • Corporate Authors:

    Honda Gijutsu Kenkyujo

    ,    

    Universita di Napoli

    ,    

    Ethniko Metsovio Polytechneio (Greece)

    ,    

    University of Newcastle upon Tyne

    ,    

    University of Minnesota, Minneapolis

    HumanFIRST Program, 111 Church Street, SE
    Minneapolis, MN  United States  55455

    Technische Universitat Wien

    ,    

    BAeSEMA Ltd.

    ,    

    Institut de Recherche des Transports

    Avenue de General Malleret-Joinville, Boite Postale 28
    94 Arcueil,   France 

    Ohio State University, Columbus

    Geodetic Science Center for Mapping, 1216 Kinnear Road
    Columbus, OH  United States  43212

    Hitachi Seisakujo

    ,    

    Omron Corporation

    Traffic Solutions Division
    2-2-1, Nishikusatsu,
    Kusatsu-city, Shiga-prefecture  Japan  525-0035

    Mitsubishi Denki Kabushiki Kaisha

    ,    

    Seikei Daigaku

    ,    

    Siemens Aktiengesellschaft

    Machtfinger Strasse 10, Postfach 100079
    8000 Munich,   Germany 

    Kuo li Tai-wan ta hsueh

    ,    

    CETE de l'Est

    ,    

    California Polytechnic State University, San Luis Obispo

    Department of Computer Science
    1 Grand Avenue
    San Luis Obispo, CA  United States  93407

    Rheinisch-Westfalische Technische Hochschule Aachen

    ,    

    Sumitomo Denki Kogyo Kabushiki Kaisha

    ,    

    Universita di Firenze

    ,   Italy 

    Gunma Daigaku

    ,    

    Telia Research

    ,    
  • Authors:
    • Yoshizawa, A
    • Akoi, M
  • Conference:
  • Publication Date: 1992

Language

  • English

Media Info

  • Pagination: p. 545-552

Subject/Index Terms

Filing Info

  • Accession Number: 00772949
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Nov 17 1999 12:00AM