On-line identification of driver state for lane-keeping tasks

Online identification of driver state is a desirable element of many proposed active safety systems (e.g. collision detection and avoidance, automated highway and road departure warning systems). Here we consider driver state assessment in the context of a road departure warning and intervention system. A system identification approach, using vehicle lateral position as the input and steering wheel position as the output, is used to develop a model and to continually update its parameters during driving. Driving simulator results indicate that changes in the bandwidth and/or parameters of such a model may be useful indicators of driver fatigue.