• DocumentCode
    3466037
  • Title

    Detecting reflection posts - lane recognition on country roads

  • Author

    Von Trzebiatowski, Michael Smuda ; Gern, A. ; Franke, Uwe ; Kaeppeler, Uwe-Philipp ; Levi, Paul

  • Author_Institution
    DaimlerChrysler Res., Stuttgart, Germany
  • fYear
    2004
  • fDate
    14-17 June 2004
  • Firstpage
    304
  • Lastpage
    309
  • Abstract
    This paper presents a new approach to the challenging task of lane recognition on general roads. Lane recognition is the basis for many driver assistance systems, including lane departure warning and the assignment of vehicles to specific lanes. Most systems of the past are designed for the well defined highway scenario. They rely on white lane markings with known geometric appearance. Our method is an extension which also works when lane markings are in bad conditions or missing completely. We use reflection posts as a means of estimating the course of the road. In addition we are furthermore able to measure the horizontal and vertical slope of the road surface.
  • Keywords
    computer vision; driver information systems; image recognition; roads; bad conditions; computer vision; country roads; driver assistance systems; horizontal slope; image recognition; lane departure warning; lane recognition; reflection post detection; road surface; vertical slope; white lane markings; Equations; Image analysis; Optical filters; Optical reflection; Optical sensors; Particle filters; Road transportation; Solid modeling; Surface texture; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2004 IEEE
  • Print_ISBN
    0-7803-8310-9
  • Type

    conf

  • DOI
    10.1109/IVS.2004.1336399
  • Filename
    1336399