SYSTEM COMPONENTS FOR DRIVER SUPPORT BY EVALUATION OF IMAGE SEQUENCES

This paper describes a system architecture for investigating driver assistance approaches. Machine vision images are used to give information about the actual traffic situation, including obstacles. A modelling approach for traffic scenes is presented, utilizing sensor information about the driver, vehicle and environment.

• Supplemental Notes:
  • Publication Date: 1995 Published By: Pergamon, Oxford
• Corporate Authors:

  Magneti Marelli (Firm)

  ,    

  University of California, Berkeley

  Department of Mechanical Engineering
  Berkeley, CA  United States  94720-1740

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  Laboratoire d'automatique de Grenoble

  ,    

  Technische Hochschule Darmstadt

  Darmstadt,   Germany 

  Fraunhofer-Institut fur Informations- und Datenverarbeitung

  ,    

  Siemens Aktiengesellschaft

  Machtfinger Strasse 10, Postfach 100079
  8000 Munich,   Germany 
• Authors:
  • Enkelmann, W
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 215-220
• Serial:
  • Advances in automotive control : a postprint volume from the IFAC Workshop, Ascona, Switzerland, 13-17 March 1995
  • Publisher: Magneti Marelli (Firm)

Subject/Index Terms

• TRT Terms: Driver support systems; Image processing

Filing Info

• Accession Number: 00776319
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM