• DocumentCode
    2657704
  • Title

    An Efficient Curvature Lane Recognition Algorithm by Piecewise Linear Approach

  • Author

    Taoka, Takeshi ; Manabe, Makoto ; Fukui, Masahiro

  • Author_Institution
    Dept. of Inf. Syst., Ritsumeikan Univ., Shiga
  • fYear
    2007
  • fDate
    22-25 April 2007
  • Firstpage
    2530
  • Lastpage
    2534
  • Abstract
    Lane recognition is an essential technique for automobile active safety applications. We aim at developing a high speed and high accurate lane recognition system. Especially, curvature lane recognition is not easy and no efficient system has been reported. This paper proposes a new efficient algorithm for lane recognition. The algorithm extracts lanes from a picture of 500 times 350 pixels in 0.8 sec by the PC software.
  • Keywords
    automobiles; image recognition; road safety; automobile active safety applications; curvature lane recognition algorithm; piecewise linear approach; Automobiles; Cameras; Clustering algorithms; Filters; Image edge detection; Image recognition; Noise reduction; Pattern recognition; Piecewise linear techniques; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th
  • Conference_Location
    Dublin
  • ISSN
    1550-2252
  • Print_ISBN
    1-4244-0266-2
  • Type

    conf

  • DOI
    10.1109/VETECS.2007.521
  • Filename
    4212949