• DocumentCode
    392051
  • Title

    Precise position and speed detection from slit camera image of road surface marks

  • Author

    Kawamata, Shota ; Ito, Norihiko ; Katahara, Shunji ; Aok, Masayoshi

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Seikei Univ., Tokyo, Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    17-21 June 2002
  • Firstpage
    92
  • Abstract
    We propose a scheme to detect precise position and speed by an image processing technique. As an input device we use a slit camera mounted in front of a vehicle looking downwards. The slit is aligned to the lateral direction, and the space axis and the time axis of the resulting image correspond to lateral and longitudinal direction. The longitudinal length of the resulting surface image varies according to the vehicle speed and gives speed information. The position to be detected is assumed to be at the center of each lane and four separate white bars are aligned in a diagonal position symmetrically to the assumed center. We detect these white bars in the resulting image and approximated by two lines. The crossing point of these two lines gives the assumed center in the image. We showed the effectiveness of this scheme by test course experiments using a passenger vehicle. We also showed that information related to the position can be coded as bar codes on the road surface and our camera configuration is able to detect these bar codes.
  • Keywords
    automobiles; bar codes; image processing; image sensors; navigation; position measurement; velocity measurement; image processing technique; lateral direction; longitudinal direction; next generation navigation; next generation vehicle control; precise position detection; precise speed detection; road surface marks; slit camera image; space axis; surface image; time axis; Bars; Cameras; Control systems; Global Positioning System; Image analysis; Image processing; Indium tin oxide; Magnetosphere; Navigation; Road vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicle Symposium, 2002. IEEE
  • Print_ISBN
    0-7803-7346-4
  • Type

    conf

  • DOI
    10.1109/IVS.2002.1187934
  • Filename
    1187934