• DocumentCode
    3001927
  • Title

    Research of driver assistance system based on pervasive computing

  • Author

    Ye, Mao ; Wu, Jinghua ; Xiu, Yun

  • Author_Institution
    Huangshi Inst. of Technol., Huangshi, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    2342
  • Lastpage
    2344
  • Abstract
    The driver assistance system is more and more widely used with the development of automobile industry. The driver assistance system based on pervasive computing integrates the function of computing, communicating and sensing, which can assure the driving safety and prejudging the traffic emergency by sharing the information among vehicles of the same district. The structure and working principle of the system is discussed in this paper. The function of each module is introduced in detail. And the working principle is discussed to explain relationship of the modules. The research emphasis is laid on the vision enhancement technique, which involves utilizing multi-sensor information fusion to get a vision enhanced scene. And the solution of the vision enhancement system is put forward in this paper, which has been successfully used in a developing driver assistance system and got good results.
  • Keywords
    driver information systems; ubiquitous computing; automobile industry; driver assistance system; multisensor information fusion; pervasive computing; traffic emergency; vision enhancement technique; Automobiles; Global Positioning System; Network servers; Pervasive computing; Road accidents; Road safety; Road vehicles; Vehicle driving; Vehicle safety; Wireless networks; driver assistance system; driving safety; pervasive computing; vision enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5375323
  • Filename
    5375323