• DocumentCode
    313846
  • Title

    Identification of driver state for lane-keeping tasks: experimental results

  • Author

    Pilutti, Tom ; Ulsoy, A. Galip

  • Author_Institution
    Sci. Res. Lab., Ford Motor Co., Dearborn, MI, USA
  • Volume
    5
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    3370
  • Abstract
    In a companion paper (Pilutti and Ulsoy, 1995),: an input-output system identification approach was proposed to monitor driver model parameter changes for use in vehicle active safety systems. The approach used vehicle lateral position as the input and steering wheel position as the output. In this paper, the approach is applied to data from twelve, two-hour highway driving runs conducted in a full-vehicle driving simulator. The identified model parameters (ζ, ωn, and DC gain) do not exhibit the trends expected as lane keeping performance deteriorates; despite having acceptably white residuals. As an alternative, model residuals are compared in a process monitoring approach using a model fit to an early portion of the two-hour driver run. Model residuals show the expected trends and have potential in serving as the basis for a driver state monitor
  • Keywords
    autoregressive processes; digital simulation; driver information systems; human factors; position control; driver model parameter changes; driver state; full-vehicle driving simulator; lane-keeping tasks; model residuals; two-hour highway driving runs; vehicle active safety systems; Condition monitoring; Fatigue; Layout; Road transportation; Road vehicles; System identification; Testing; Vehicle driving; Vehicle safety; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.612090
  • Filename
    612090