• DocumentCode
    2070402
  • Title

    Feature point based highway curl road recognition

  • Author

    Guo, Lie ; Huang, Xiaohui ; Zhang, Guangxi ; Nie, Qian

  • Author_Institution
    Sch. of Automotive Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2011
  • fDate
    16-18 Dec. 2011
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    This paper introduces a recognition algorithm of highway curl road based on feature point. Firstly, a road model was established and traditional Hough transform was adopt to obtain linear equations of lanes in order to improve the real-time performance and robustness. The curve direction of current lanes was judged with certain criteria, and the feature points in the curvilinear section were extracted and corrected. Finally, the linear and curvilinear section was fitted to realize the ultimate two dimensional rebuilding of the current bent lanes. Experiments proved that both continuous and dashed lanes were recognized accurately with strong robustness.
  • Keywords
    Hough transforms; automated highways; feature extraction; object recognition; Hough transform; bent lanes; curve direction; curvilinear section; feature point based highway curl road recognition; linear equations; road model; two dimensional rebuilding; Educational institutions; Equations; Feature extraction; IEEE Press; Mathematical model; Roads; bent lanes; curve direction; feature point; highway; intelligent vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4577-1700-0
  • Type

    conf

  • DOI
    10.1109/TMEE.2011.6199301
  • Filename
    6199301