• DocumentCode
    3333699
  • Title

    Proposal of a driver assistance system based on video and radar data fusion

  • Author

    Polidori, Luca ; Gambi, Ennio ; Spinsante, Susanna

  • Author_Institution
    Dipt. di Ing. Biomedica, Elettron., e Telecomun. (D.I.B.E.T.), Univ. Politec. delle Marche, Ancona
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    300
  • Lastpage
    304
  • Abstract
    In recent years, increasing road safety has become one of the most critical issues in the European Commission policy. The ambitious target is to halve the number of fatal car accidents by 2010. Up to now, research efforts have been mainly focused on the idea of making cars safer and safer; now, the focus is to exploit new technologies in order to reduce probability of car accidents. This paper deals with the possibility of integrating two technologies, chaos based anticollision radars and image analysis systems, in order to provide the driver as much information as possible about the environment where his vehicle is moving, to reduce and possibly cancel the risk of collisions. Preliminary results are presented about the performance of an automatic vision system to be used in cooperation with an anticollision radar system, and possible scenarios of converging technologies are outlined.
  • Keywords
    automobiles; computer vision; driver information systems; image fusion; road accidents; road safety; road vehicle radar; video signal processing; European Commission policy; automatic vision system; car accidents; chaos based anticollision radar; driver assistance system; image analysis systems; radar data fusion; road safety; video fusion; CMOS technology; Cameras; Image analysis; Intelligent sensors; Proposals; Radar countermeasures; Road accidents; Sensor systems; Vehicle crash testing; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
  • Conference_Location
    Split
  • Print_ISBN
    978-953-6114-97-9
  • Electronic_ISBN
    978-953-290-009-5
  • Type

    conf

  • DOI
    10.1109/SOFTCOM.2008.4669499
  • Filename
    4669499