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:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• 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

• Pagination: p. 173-181
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 3
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Computer vision; Crash avoidance systems; In vehicle sensors; Information display systems; Pedestrian detectors

Filing Info

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