This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on driver's traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.
- object recognition