• DocumentCode
    1582827
  • Title

    Lane geometry detection for the guidance of smart vehicle

  • Author

    Wong, Swee Meng ; Xie, Ming

  • Author_Institution
    Sch. of Mech. & Production Eng., Nanyang Technol. Univ., Singapore
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    925
  • Lastpage
    928
  • Abstract
    Numerous road traffic accidents occur because the human driver fails to perceive the danger due to human error, or simply drives too rashly. If a robust electronic driver can be developed that includes sensors, an active vision system, a GPS system, etc., that can assist the human driver, such accidents may be avoided. This motivates our research in developing an electronic driver. In this paper, we discuss the perception aspects of the electronic driver and provide the results of real experiments. Specifically, our proposed method to detect lane geometry is presented
  • Keywords
    Global Positioning System; accidents; active vision; geometry; image sensors; mobile robots; road vehicles; CyCab; GPS; active vision system; danger; electronic driver; human driver assistance; human error; lane geometry detection; perception; road traffic accidents; sensors; smart vehicle guidance; Driver circuits; Geometry; Humans; Intelligent sensors; Intelligent vehicles; Navigation; Road accidents; Robustness; Sensor systems; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-4975-X
  • Type

    conf

  • DOI
    10.1109/ITSC.1999.821187
  • Filename
    821187