• DocumentCode
    3125732
  • Title

    Estimation of preceding vehicle´s driving state

  • Author

    Araki, Hideo ; Hiroshima, Yasuhisa ; Ito, Toshio

  • Author_Institution
    Div. of Electron. Eng., Daihatsu Motor Co. Ltd., Osaka, Japan
  • fYear
    1997
  • fDate
    9-12 Nov 1997
  • Firstpage
    242
  • Lastpage
    247
  • Abstract
    Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle´s running lane. The driving state of each vehicle is estimated using Kalman filter; and it is corrected in the case that the estimation error becomes large, which means the acceleration change of the vehicle. The running lane of each vehicle is also estimated from their driving state. The effectiveness of the proposed methods is then confirmed by simulations and experiments
  • Keywords
    Kalman filters; computer vision; intelligent control; optical radar; position control; road vehicles; state estimation; Kalman filter; driving state; forward vehicles; intelligent control; lane displacement; laser radar; lateral displacement; machine vision; road vehicles; Acceleration; Cameras; Data mining; Intelligent vehicles; Laser radar; Remotely operated vehicles; Road vehicles; State estimation; Vehicle driving; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7803-4269-0
  • Type

    conf

  • DOI
    10.1109/ITSC.1997.660482
  • Filename
    660482