ROBUST LANE RECOGNITION EMBEDDED IN A REAL-TIME DRIVER ASSISTANCE SYSTEM

This paper describes a robust automatic lane detection approach which is part of a real-time driver assistance system. The approach involves two different algorithms which are used to extract measurement points. The algorithms detect marked as well as unmarked lane borders. The system was tested on two experimental vehicles and was shown to perform well under different traffic and weather conditions.

• Supplemental Notes:
  • Publication Date: 1998 IEEE Service Center, Piscataway NJ
• Corporate Authors:

  Battelle Memorial Institute

  ,    

  National Highway Traffic Safety Administration

  Office of Crash Avoidance Research, 1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  Kikai Gijutsu Kenkyujo

  ,    

  Daimler-Benz Forschungszentrum

  ,    

  Universitat der Bundeswehr Hamburg (Germany). Institut fur Automatisierungstechnik

  ,    

  Nanyang Technological University

  School of Electrical and Electronic Engineering
  ,   Singapore 
• Authors:
  • Risack, R
• Conference:
  • IEEE International Conference on Intelligent Vehicles. Proceedings of the 1998 IEEE International Conference on Intelligent Vehicles Vol. 1
• Publication Date: 1998

Language

• English

Media Info

• Pagination: p. 35-40

Subject/Index Terms

• TRT Terms: Computer vision; Driver support systems; Road markings
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00801283
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, USDOT
• Created Date: Nov 7 2000 12:00AM