• DocumentCode
    2438827
  • Title

    Lane departure identification on highway with searching the region of interest on hough space

  • Author

    Lin, Haiping ; Ko, Suhong ; Shi, Wang ; Kim, Yeongim ; Kim, Hyongsuk

  • Author_Institution
    Chonbuk Nat. Univ., Jeonju
  • fYear
    2007
  • fDate
    17-20 Oct. 2007
  • Firstpage
    1088
  • Lastpage
    1091
  • Abstract
    An updated expressway lane departure identification which based on a combination of the lane boundaries detection method and lane following with searching of the region of interest on Hough domain were proposed in this paper. After preprocessing captured road images, we employed mathematical morphology technique to obtain edge map and Hough Transform (HT) to detect lane candidates. To estimate lane boundaries among these candidates, we use some information such as lane orientation (angle), the symmetrical property, boundary length, etc. on Hough domain. And then, lane following with prior of knowledge of lane detection showed a good performance. The robustness and the low compute cost of the proposed algorithm had been shown with experiment results.
  • Keywords
    Hough transforms; automated highways; image sequences; mathematical morphology; object detection; video signal processing; Hough transform; automated highway; expressway lane departure identification; lane boundary detection; lane following; mathematical morphology; road image processing; video sequence; Automatic control; Computer vision; Image edge detection; Image segmentation; Lighting; Noise shaping; Road transportation; Robotics and automation; Robustness; Shape; Cluster analysis; Hough transforms; Lane boundary detection; lane following;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2007. ICCAS '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-6-2
  • Electronic_ISBN
    978-89-950038-6-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2007.4407061
  • Filename
    4407061