• DocumentCode
    2872779
  • Title

    Designed on the Low Cost System Framework of Road Condition Recognition Based on Roadside Multi-sensors

  • Author

    CHU, Xiumin ; Wu, Yong

  • Author_Institution
    Intell. Transp. Syst. Res. Center, Eng. Res. Center of Transp. Safety (Minist. of Educ.), Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    It is very important for traffic guidance and control to collect the information of road conditions in the adverse weather. Because the road condition collecting systems along highway are incomplete in the current, the inspecting density, efficiency, and content of the road condition collecting systems donpsilat meet highway demands of traffic control. A low cost road condition recognition system is design in this paper. First, the function and designing principle of the road condition collecting system is put forward, furthermore the system framework based on roadside multi-sensors is designed. Second, the data filter of road weather and road images are analyzed, and the recognition flow about the visibility and slippery road are put forward. Finally, the software function of the collecting road condition are put forward, which include data collecting, data processing, data storing, data transferring, and long-distance controlling, and the modules of every software function are analyzed.
  • Keywords
    data handling; embedded systems; image recognition; roads; sensor fusion; traffic control; traffic engineering computing; visibility; data collection; data filter; data processing; data storing; data transferring; long distance control; low cost system design; recognition flow; road condition recognition; road image; road weather; roadside multisensor; slippery road; traffic control; traffic guidance; visibility; Charge-coupled image sensors; Costs; Image recognition; Intelligent transportation systems; Road accidents; Road safety; Road transportation; Sensor systems; Temperature sensors; Weather forecasting; Image Recognition; Multi-sensors; Road condition; Road safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.179
  • Filename
    5197164