Team Members
Summary
Advanced driver assistance systems (ADASs) have already been implemented in vehicles. Such examples are cruise control, warning systems for lane departure and automatic parking that have been recently introduced. ADASs are supposed to provide a safe driving experience, but fatalities involving these systems increased during recent years. It is believed that if their full potential be realized, ADASs would have an annual benefit of around $800 billion by 2050 via mitigation in traffic congestion, energy consumption and road collisions. This goal cannot be achieved unless knowledge in ADASs is advanced to a greater extent. ADASs are focused on perception of environments around the vehicles for assisting the driver, while little attention is given to the perception of driver behavior. It is believed that driver behavior can significantly improve ADASs as 95 percent of vehicle collision are due to human error. For detection of visual driver distraction, it is important to find out where the driver is looking. This is the main subject of current thesis.