ABSTRACT

   A Novel Vehicle Safety Model: Vehicle Speed Controller under Driver Fatigue 

Driver fatigue resulting from sleep deprivation or sleep disorders is an

important factor in the creasing number of accidents on today's roads. In this

paper, we describe a real-time online safety prototype that controls the vehicle

speed under driver fatigue.

The purpose of such a model is to advance a system to detect fatigue

symptoms in drivers and control the speed of vehicle to avoid accidents. The

main components of the system consists of a small camera for real-time

driver’s image acquisition, a nonlinear eye tracking algorithm based on

Unscented Kalman Filter for driver fatigue detection, and an adaptive speed

controller designed using the theory of sliding mode servo control for

providing precise positioning of the throttle valve to control speed of vehicle.

This system was tested adequately in a realistic driving environment with

subjects of different genders, with/without glasses, day/night driving,

commercial/non-commercial drivers, continuous driving time, and under

different road conditions. The last experimental results show the validity of

the proposed model for vehicle speed controller based on driver fatigue

detection.