• DocumentCode
    3528008
  • Title

    A new vision system for traffic sign recognition

  • Author

    Gu, Yanlei ; Yendo, Tomohiro ; Tehrani, Mehrdad Panahpour ; Fujii, Toshiaki ; Tanimoto, Masayuki

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    In this paper, we introduce a new vision system for traffic sign recognition. The new vision system is a hybrid camera system, including a wide angle camera, a narrow angle camera and control part. The traffic sign candidates are detected in the image of the wide angle camera, based on shape and local feature. The control part of the vision system is adjusted to the correct positions, which makes the narrow angle camera of this system to get a high resolution image of each detected candidate. This high resolution image is used for traffic sign classification. In the new vision system, the traffic sign detection and classification are processed in different resolution images separately. This advantage of the system makes traffic sign recognition at long distance possible.
  • Keywords
    cameras; driver information systems; feature extraction; image recognition; road traffic; shape recognition; driver assistance system; hybrid camera system; image detection; narrow angle camera; traffic sign recognition; vision system; wide angle camera; Cameras; Control systems; Image resolution; Machine vision; Mirrors; Roads; Robustness; Shape; Telecommunication traffic; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5548005
  • Filename
    5548005