A PREVIEW STEERING CONTROL STRATEGY BASED ON COMPUTER VISION FOR AUTOMATED VEHICLE HIGHWAY SYSTEMS

This paper describes how a vision based lane tracking control system using a correlation image processing was developed for an automated vehicle highway system. Successful lane tracking during curved roadway was made by preview steering control strategy based on an LZ feedback control and adaptive feedforward control with a neural network.

• Supplemental Notes:
  • Publication Date: 1994 Published By: Pergamon, Oxford, England
• Corporate Authors:

  University of Arizona, Tucson

  Department of Systems and Industrial Engineering
  Tucson, AZ  United States  85721

  Technische Universitat Munchen. Lehrsthul fur Steuerungs- und Regelungstechnik

  ,    

  Nissan Jidosha Kabushiki Kaisha

  ,    

  Crain Communications, Incorporated

  1155 Gratiot Avenue
  Detroit, MI  United States  48207-2997

  University of California, Berkeley

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

  Kikai Gijutsu Kenkyujo

  ,    
• Authors:
  • Inoue, T
• Conference:
  • Automatic control : proceedings of the 12th triennial World Congress of the International Federation of Automatic Control. Vol. 3
• Publication Date: 1994

Language

• English

Media Info

• Pagination: p. 123-126

Subject/Index Terms

• TRT Terms: Advanced vehicle control systems; Automated highways; Computer vision; Image processing
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00774062
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM