• DocumentCode
    2798560
  • Title

    Traffic sign recognition system for inventory purposes

  • Author

    Maldonado-Bascón, S. ; Lafuente-Arroyo, S. ; Siegmann, P. ; Gómez-Moreno, H. ; Acevedo-Rodríguez, F.J.

  • Author_Institution
    Dept. Teor. de la Senal y Comun., Univ. de Alcala, Alcala de Henares
  • fYear
    2008
  • fDate
    4-6 June 2008
  • Firstpage
    590
  • Lastpage
    595
  • Abstract
    This paper describes the evaluation of the characteristics of a real automatic traffic sign detection system. The objective of this review is to provide the basis of quality of a whole system, which is capable of identifying the different signs that can be found in route. At the moment, our work is concerned with the developing of an inventory system capable to get a complete catalog of all the traffic signs and their corresponding state information. The paper analyzes exhaustively the different problems that can appear in real environments and shows how the system implemented overcomes all these difficulties with a high success. The flexibility of the system allows it to run new algorithms even though several of them can be run in parallel and, on the other hand, it is relatively easy to change the training traffic sign according to the circumstances: urban or non-urban environments and traffic signs from different countries.
  • Keywords
    driver information systems; image recognition; object detection; automatic traffic sign detection system; inventory system; sign identification; traffic sign catalog; traffic sign recognition system; Automated highways; Automation; Distance measurement; Fast Fourier transforms; Global Positioning System; Instruments; Intelligent vehicles; Inventory management; Roads; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2008 IEEE
  • Conference_Location
    Eindhoven
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-2568-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2008.4621233
  • Filename
    4621233