• DocumentCode
    3468157
  • Title

    Sensor fusion system for pre-crash safety system

  • Author

    Tokoro, S. ; Moriizumi, K. ; Kawasaki, T. ; Nagao, T. ; Abe, K. ; Fujita, K.

  • Author_Institution
    Dept. of Integrated Syst., Toyota Motor Corp., Shizuoka, Japan
  • fYear
    2004
  • fDate
    14-17 June 2004
  • Firstpage
    945
  • Lastpage
    950
  • Abstract
    The objective of developing "ITS" is to realize driver convenience systems represented by ACC (adaptive cruise control), and to create active safety systems that realize an excellent vehicle safety performance. From February of last year we have, for the first time in the world, succeeded in creating a commercially available mass production pre-crash safety system (PCS) for excellent vehicle safety through developing and further evolving ITS technology applied to ACC. As the first crucial step in realizing an obstacle detection sensor was our development of "millimeter-wave radar." The second step was the successful development of a sensor fusion system integrating the millimeter-wave radar and a newly developed image sensor into the PCS system. By combining the vision-based obstacle detection system with the radar-based obstacle detection system, we have realized excellent obstacle detection performance.
  • Keywords
    adaptive control; computer vision; driver information systems; image sensors; millimetre wave devices; object detection; road safety; road vehicle radar; road vehicles; sensor fusion; traffic control; active safety systems; adaptive cruise control; driver convenience systems; image sensor; millimeter wave radar; obstacle detection sensor; pre-crash safety system; radar based obstacle detection system; sensor fusion system; vehicle safety; vision based obstacle detection system; Adaptive control; Control systems; Mass production; Millimeter wave radar; Personal communication networks; Product safety; Programmable control; Radar detection; Sensor fusion; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2004 IEEE
  • Print_ISBN
    0-7803-8310-9
  • Type

    conf

  • DOI
    10.1109/IVS.2004.1336513
  • Filename
    1336513