PROBLEM:
Out of the numerous traffic mortalities happening every year, a vast majority of them caused by driver negligence and distraction. With the improvement of novel technologies in diver assistant, driver warning and auto control systems in the last decades, yet many of vehicles are not equipped because of the expense and complexity of these systems.
Solution:
In this research, we studied driver performance under real world conditions with the help of image-based information which can be simply captured from a camera installed on the vehicle’s wind shield. Driver assessment has been done based on driver’s following distance to other vehicles and pedestrians and off-center lane rates. Providing a driver assessment and risk grading system helps drivers to improve their performance over the time. This system is of course subjective to have a consistent distance estimation of the following car during the time. By achieving a long-term distance pattern, we can then split the results into 3 different zones of risk. The driver assessment system can be extended later to on board vehicle heads up displays or UTDrive application features.
TECHNOLOGY READINESS:
Level 3-5
TECHNOLOGIES:
ADAS, Image-based techniques, Driving behavior analysis
