• DocumentCode
    1739581
  • Title

    Approach to lane departure detection

  • Author

    Gangyi, Jiang ; Yanhua, Chen ; Mei, Yu ; Yi, Zheng

  • Author_Institution
    Artificial Intelligence & Pattern Recognition Open Lab., Shantou Univ., China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    971
  • Abstract
    An approach to lane departure detection, based on image processing and computer vision, is proposed for a driver assistant system. A new description of lane markings in the image plane is presented, and some properties are discussed and used to locate lanes. Multi-frame lane detection and analysis are adopted so that lane departure detection method is more reliable. Lane departure is analyzed and lane parameters are estimated and used for lateral control. Experimental results show that the proposed approach performs lane departure detection efficiently
  • Keywords
    automated highways; computer vision; driver information systems; road traffic; traffic control; computer vision; driver assistant system; image plane; image processing; lane departure detection; lane markings; lane parameters estimation; lateral control; multi-frame lane analysis; multi-frame lane detection; road traffic; Artificial intelligence; Computer vision; Control systems; Gray-scale; Parameter estimation; Pattern recognition; Road vehicles; Safety; Vehicle detection; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891685
  • Filename
    891685