• DocumentCode
    1422246
  • Title

    Automatic Traffic Signs and Panels Inspection System Using Computer Vision

  • Author

    González, Álvaro ; Garrido, M.A. ; Llorca, David Fernández ; Gavilán, Miguel ; Fernández, J. Pablo ; Alcantarilla, Pablo F. ; Parra, Ignacio ; Herranz, Fernando ; Bergasa, Luis M. ; Sotelo, Miguel Ángel ; De Toro, Pedro Revenga

  • Author_Institution
    Dept. of Electron. & the Dept. of Autom., Univ. Campus, Alcala de Henares, Spain
  • Volume
    12
  • Issue
    2
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    485
  • Lastpage
    499
  • Abstract
    Computer vision techniques applied to systems used on road maintenance, which are related either to traffic signs or to the road itself, are playing a major role in many countries because of the higher investment on public works of this kind. These systems are able to collect a wide range of information automatically and quickly, with the aim of improving road safety. In this context, the correct visibility of traffic signs and panels is vital for the safety of drivers. This paper describes an approach to the VISUAL Inspection of Signs and panEls (“VISUALISE”), which is an automatic inspection system, mounted onboard a vehicle, which performs inspection tasks at conventional driving speeds. VISUALISE allows for an improvement in the awareness of the road signaling state, supporting planning and decision making on the administration´s and infrastructure operators´ side. A description of the main computer vision techniques and some experimental results obtained from thousands of kilometers are presented. Finally, the conclusions of the system are described.
  • Keywords
    automatic optical inspection; computer vision; decision making; maintenance engineering; planning; road safety; road traffic; structural panels; VISUALISE; automatic inspection system; automatic traffic signs; computer vision techniques; conventional driving speeds; decision making; driver safety; inspection tasks; panels inspection system; planning; public works; road maintenance; road safety; road signaling state; visual inspection of signs and panels; Cameras; Image color analysis; Inspection; Lighting; Roads; Transforms; Vehicles; Computer vision; dynamic inspection; retroreflection; traffic signs detection; traffic signs recognition;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2010.2098029
  • Filename
    5682406