A FAST AND ROBUST VISION BASED ROAD FOLLOWING ALGORITHM

In this paper, the authors present a method for detecting and tracking a road lane from images provided by an onboard camera. A model driven algorithm forms the basis of the detection method, with detection being made in optimal interest zones. The tracking process allows the vehicle to be located and gives a confidence interval of the roadside for the next image. The method is applied on marked as well as non- marked images. Results indicate the robustness and precision of this approach.

• Supplemental Notes:
  • Publication Date: 2000. IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Universite de Haute-Alsace

  ,    

  Audi AG

  ,    

  Honda Gijutsu Kenkyujo

  ,    

  Crain Communications, Incorporated

  1155 Gratiot Avenue
  Detroit, MI  United States  48207-2997

  Universita di Parma Dipartimento di ingegneria dell informazione

  ,    

  KOYO SEIKO CO LTD

  ,    

  California State University, Sacramento

  Department of Electrical and Electronic Engineering Department
  Sacramento, CA  United States  95819-6019

  Science Applications International Corporation

  8301 Greensboro Drive
  McLean, VA  United States  22102

  University of Michigan, Ann Arbor

  Department of Electrical Engineering and Computer Science
  Ann Arbor, MI  United States  48109

  United States. Army-Tank Automotive Command

  ,    

  Toyota Chuo Kenkyujo

  ,    

  Fraunhofer Institute of Microelectronic Circuits and Systems

  ,    

  DaimlerChrysler Research and Technology Center North America

  ,    

  Universitat der Bundeswehr Hamburg (Germany). Institut fur Automatisierungstechnik

  ,    

  Hittite Microwave Corporation

  ,    

  Daihatsu Jidosha Kabushiki Kaisha

  ,    

  University of California, Berkeley

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

  Nanyang Technological University

  School of Mechanical and Production Engineering
  Singapore,   Singapore 

  Keisatsu Daigakko

  ,    
• Authors:
  • Aufrere, Romuald
  • Chapuis, Roland
  • Chausse, Frederic
• Conference:
  • IEEE Intelligent Vehicles Symposium (2000 : Dearborn, Mich.). IV 2000 : proceedings of the IEEE Intelligent Vehicles Symposium 2000
• Publication Date: 2000

Language

• English

Media Info

• Pagination: p. 192-197

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Image processing; In vehicle sensors; Road markings
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00924402
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: May 30 2002 12:00AM