• DocumentCode
    693111
  • Title

    Lane detection algorithm using vanishing point

  • Author

    Wang Jingyu ; Duan Jianmin

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • Volume
    02
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    735
  • Lastpage
    740
  • Abstract
    This paper presents a lane detection method to screen data using the vanishing point according to the perspective feature of the camera. The line data is obtained after Canny and Hough transform of the raw image. The filter conditions are created according to the vanishing point and other location features. The algorithm saves the detected lane and vanishing points in near history. The algorithm clusters and integrates to determine the detection output according to the historical data. Finally, according to the output, a new vanishing point is fitted for the next circuit. The experiments indicate that the algorithm detects the lane accurately and is of parameters self-adaptability and robustness, while improving the utilization of the internal data.
  • Keywords
    Hough transforms; filtering theory; image sensors; object detection; traffic engineering computing; Canny transform; Hough transform; camera feature; filter conditions; intelligent vehicle driving; internal data utilization improvement; lane detection algorithm; lane warning system; vanishing point; Abstracts; Robustness; Runtime; Canny transform; Hough transform; lane detection; screen; vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890384
  • Filename
    6890384