Development of advanced driver assist systems using smart phones

This study investigates the development of advanced driver assist systems (ADAS) using smart phones. The driver model parameters are estimated on-line based on the built-in sensors on the smart phone, including the GPS signals, camera, and the inertia measurement sensors (gyros and accelerometers). Further, the existing algorithms as presented in the literature will be employed to estimate the tire-road coefficient of friction based on the smart phone sensors, and the performance will be evaluated experimentally.