• DocumentCode
    495244
  • Title

    Real-Time Video Detection of Road Visibility Conditions

  • Author

    Zhao-zheng, Chen ; Jia, Li ; Qi-mei, Chen

  • Author_Institution
    Inst. of Commun. Technol., Nanjing Univ., Nanjing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    For the growing number of accidents caused by poor visibility, visibility measurement which can alert drivers and inform traffic division managements when poor visibility occurs is a key parameter in driving assistance system. This paper is to implement a visibility measurement system that based on traffic video-surveillance system can both detect fog and estimate visibility distance. We propose a method to detect visibility distance by contrast of road surface with distance information. The method integrates the targetspsila contrast and curve fitting to get visibility distance. The system is operative in every kind of weather in day-time. The experimental results in practical are uniform to human perception.
  • Keywords
    accidents; curve fitting; driver information systems; road traffic; video surveillance; curve fitting; real-time video detection; road traffic; road visibility condition; traffic division management; traffic video-surveillance system; visibility measurement system; Cameras; Communications technology; Curve fitting; Humans; Image analysis; Image sensors; Light scattering; Meteorology; Particle scattering; Road accidents; contrast threshold; curve fitting; objects edge; visibility detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.169
  • Filename
    5170580