• DocumentCode
    2485907
  • Title

    Validation of a Vision Based Time to Line Crossing Computation

  • Author

    Glaser, Sebastien ; Labayrade, Raphael ; Mammar, Said ; Douret, Jerome ; Lusetti, Benoit

  • Author_Institution
    Lab. sur les Interactions Vehicules-Infrastructure-Conducteurs, Inst. Nat. de Recherche sur les Transports et Leur Securite, Versailles
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    200
  • Lastpage
    205
  • Abstract
    In this paper, we have studied an application of lane marking detection applied to the computation of time to line crossing (TLC). Lane marking detector uses multiple algorithms to detect lane marking, and then, try to adapt an analytic description of the markings. We have validated different approaches of this application using an accurate ground knowledge: a RTK GPS and a centimeter accurate digital map of the road marks. Results are presented the paper
  • Keywords
    computer vision; feature extraction; traffic engineering computing; RTK GPS; accurate ground knowledge; centimeter accurate digital map; lane marking detection; time to line crossing computation; Alarm systems; Algorithm design and analysis; Computer vision; Detectors; Global Positioning System; Kinematics; Road accidents; Road vehicles; Testing; Velocity control; Time to Line Crossing; experimental validation; lane marking detector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689628
  • Filename
    1689628