• DocumentCode
    2742121
  • Title

    A Study on Automatic Recognition of Road Signs

  • Author

    Nguwi, Y.Y. ; Kouzani, A.Z.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., Callaghan, NSW
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An automatic road sign recognition system identifies road signs from within images captured by an imaging sensor on-board of a vehicle, and assists the driver to properly operate the vehicle. Most existing systems include a detection phase and a classification phase. This paper classifies the methods applied to road sign recognition into three groups: colour-based, shape-based, and others. In this paper, the issues associated with automatic road sign recognition are addressed, the popular existing methods developed to tackle the road sign recognition problem are reviewed, and a comparison of the features of these methods is given
  • Keywords
    image colour analysis; image recognition; road traffic; traffic engineering computing; automatic road sign recognition; colour-based method; driver assistance; shape-based method; Image recognition; Intelligent transportation systems; Object detection; Paints; Rain; Road accidents; Road vehicles; Shape; Vehicle detection; Vehicle driving; detection; identification; road sign;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2006 IEEE Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    1-4244-0023-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2006.252289
  • Filename
    4017848