Context-Aware Driver Assistance System

In the last few years, significant improvements have been made in the area of vehicular communication systems. In fact, vehicle-to-vehicle communication and vehicle-to-infrastructure are considered a key concept for keeping roads safe. An efficient implementation of these systems is necessary to ensure the safety and to reduce the car collision rates. This paper proposes a Context-Aware Driver Assistance System that links drivers with the physical environment surrounding them. This is achieved by developing a vehicular warning system that assists drivers to avoid collisions and improve their response times. The proposed system architecture consists of a set of components to process the user's request, and provide responses and advices when needed. These components include communication, knowledge exchange, knowledge update, and context-history. Also, it includes other processes such as context-history manipulation, hazard detection, and hazard detection control. Over all, the main goal of the system is to reduce the number of car accidents and improve driver's decisions. To demonstrate the feasibility of the proposed system, it is developed and demonstrated on NXT Robots environment.