• DocumentCode
    2461516
  • Title

    Detection of Tire-Road Contact Point for Vehicle Position Estimate Considering Shape Distortion in a Circular Fisheye Image

  • Author

    Hirose, Kenichi ; Toriu, Takashi ; Hama, Hiromitsu

  • Author_Institution
    Dept. of Inf. Eng., Coll. of Ind. Technol., Amagasaki, Japan
  • fYear
    2009
  • fDate
    12-14 Sept. 2009
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    In this paper, we propose a new method for detecting tire-road contact points and estimating the position of a vehicle on a road taking the distortion in a circular fisheye image into consideration. In our proposed method, we use the distortional parameter of two concentric circles composed of the inner wheel and the outer tire by considering projection system of fisheye lens, and the searching the gray scale profile in the distortional direction are derived from each pixel that is outer the outline of the wheel region. And it is confirmed that the proposed method is effective in circular fisheye image by experimental results.
  • Keywords
    automobiles; distortion; feature extraction; object detection; photographic lenses; road traffic; traffic engineering computing; circular fisheye camera image; concentric circle; fisheye lens projection system; gray scale profile searching; shape distortional parameter; tire-road contact point detection; traffic monitoring system; vehicle position estimation; wheel region extraction; Automotive engineering; Cameras; Distortion; Intelligent vehicles; Lenses; Road vehicles; Shape; Tires; Vehicle detection; Wheels; concentric circles; distortional shape; fisheye image; position estimation; tire-road contact point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4717-6
  • Electronic_ISBN
    978-0-7695-3762-7
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2009.229
  • Filename
    5337329