• DocumentCode
    2487068
  • Title

    Lane Recognition Using On-vehicle LIDAR

  • Author

    Ogawa, Takashi ; Takagi, Kiyokazu

  • Author_Institution
    Vehicle Integrated Syst. R&D Dept., Denso Corp., Aichi
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    540
  • Lastpage
    545
  • Abstract
    This paper presents an approach to the lane recognition using on-vehicle LIDAR. It detests the objects by 2D scanning and collects the range and reflectivity data in each scanning direction. We developed the lane recognition algorithm with these data, in which the lane curvature, yaw angle and offset are calculated by using the Hough transformation, and the lane width is calculated by statistical procedure. Next the lane marks are tracked by the extended Kalman filter. Then we test the performance of the lane recognition and the good results are achieved. Finally, we show the result of the road environment recognition applying the lane recognition by LIDAR
  • Keywords
    Hough transforms; Kalman filters; object recognition; optical radar; road vehicles; tracking filters; traffic engineering computing; Hough transformation; extended Kalman filter; lane curvature; lane recognition; on-vehicle LIDAR; road environment recognition; Azimuth; Laser beams; Laser radar; Object detection; Optical sensors; Reflectivity; Road vehicles; Sensor systems; Surface emitting lasers; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689684
  • Filename
    1689684