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
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;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.612090