• DocumentCode
    2556394
  • Title

    The use of GPS based velocity measurements for improved vehicle state estimation

  • Author

    Bevly, David M. ; Gerdes, J. Christian ; Wilson, Christopher ; Zhang, Gengsheng

  • Author_Institution
    Dept. of Mech. Eng., Stanford Univ., CA, USA
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2538
  • Abstract
    Details a method for measuring three key vehicle states-wheel slip, body sideslip angle, and tire sideslip angle-using GPS velocity information in conjunction with other sensors. Based on initial noise data obtained from the system components, a prediction of the accuracy of these new measurements is obtained. Subsequent experiments validate both the methodology for obtaining the measurements as well as the error analysis. The experimental results for the GPS velocity-based sideslip angle measurement compare favorably to theoretical predictions, suggesting that this technique has merit for future implementation in vehicle safety systems
  • Keywords
    Global Positioning System; Kalman filters; Monte Carlo methods; road vehicles; state estimation; velocity measurement; GPS based velocity measurements; body sideslip angle; error analysis; tire sideslip angle; vehicle safety systems; vehicle state estimation; wheel slip; Control systems; Error correction; Global Positioning System; Mechanical variables measurement; Stability; State estimation; Tires; Vehicles; Velocity measurement; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.878665
  • Filename
    878665