Context-aware driver assistance system
LE3 .A278 2012
2012
Shakshuki, Elhadi
Acadia University
Master of Science
Masters
Computer Science
In the last few years, significant improvements have been made in the area of vehicular communication systems. In fact, vehicle-to-vehicle communication is considered a key concept for keeping roads safe. An efficient implementation of these systems is necessary to ensure the safety of driving situations and to reduce the rate of collisions. This thesis 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 to provide responses and advices when needed. These components include communication, knowledge exchange, knowledge update, and context-history. Also, the proposed system includes other processes such as context-history manipulation, hazard detection, and hazard detection control. Over all, the main goal of the proposed system is to reduce the number of car accidents and improve driver’s decisions. The NXT Robotic environment is used to demonstrate the feasibility of the proposed system.
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https://scholar.acadiau.ca/islandora/object/theses:256
