• DocumentCode
    3091255
  • Title

    Lane marking detection by side Fisheye Camera

  • Author

    Li, Shigang ; Shimomura, Yuta

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Iwate Univ., Morioka
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    606
  • Lastpage
    611
  • Abstract
    In this paper we propose a method of detecting lane markings by a side fisheye camera which is mounted at the side of a vehicle and observes the side scene in the FFCVS (Four Fisheye Camera Vision System). Since the side fisheye camera has a wider FOV (field of view) than a hemispherical one the whole lane marking at the side may be observed by the fisheye camera and the two vanishing points of straight lane markings may appear in the fisheye image. When a vehicle moves along straight lanes the translation vector of the camera is the same as the direction vector of the straight lanes. In this paper, we first compute the epipoles of a pair of fisheye images by spherical stereo method. Then the epipoles are used as the initial position of the vanishing points of lanes. Finally, the straight lane markings are detected by the estimated position of the vanishing points and the gradient values of edge points of lane markings.
  • Keywords
    cameras; computer vision; object detection; FFCVS; FOV; Four Fisheye Camera Vision System; camera translation vector; edge points; field of view; fisheye images pair; gradient values; lane marking detection; side fisheye camera; vanishing points; Cameras; Driver circuits; Estimation; Feature extraction; Image edge detection; Transforms; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4650793
  • Filename
    4650793