• DocumentCode
    2235988
  • Title

    Detecting the Corners of Light Shape of Automotive Low-beam Headlamp by Inverse Hough Transform

  • Author

    He Yang-ming ; Dai Shu-guang

  • Author_Institution
    Coll. of Opt. & Electron., ShangHai Univ. for Sci. & Technol., Shanghai
  • fYear
    2009
  • fDate
    24-25 April 2009
  • Firstpage
    309
  • Lastpage
    311
  • Abstract
    The corners are the key points of light shape of automotive low-beam headlamp. This paper explains, in detail, the principle of detecting the corners of light shape of automotive low-beam headlamp with inverse Hough transform. There are three major steps. Firstly, gradient method is used to obtain the dividing line between brightness and darkness in the light shape of low-beam headlight. Secondly, the straight lines are detected by Hough transform. Thirdly, the cross-points of straight lines are obtained by inverse Hough transform. Then according to the reasonability of cross-points, unreasonable cross-points are removed, thus the corners of light shape are obtained. Experiments are used to prove that this method can resist noise and work on real time. It realizes the transformation from manual detection to automatic detection in detecting optical axes of vehicle lamp.
  • Keywords
    Hough transforms; automobiles; edge detection; gradient methods; lamps; traffic engineering computing; automatic vehicle lamp optical axes detection; automotive low-beam headlamp; gradient method; inverse Hough transform; light shape corner detection principle; noise resistance; Automotive engineering; Brightness; Gradient methods; Noise shaping; Optical detectors; Optical noise; Resists; Shape; Vehicle detection; Vehicles; (Inverse) Hough Transform; corner point; the dividing line between brightness and darkness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2009. IIS '09. International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-3618-7
  • Type

    conf

  • DOI
    10.1109/IIS.2009.63
  • Filename
    5116360