Techniques for cognition of driving context for safe driving application

Abstract

In this work, given the context of the driver, of the vehicle and of the environment, our objective is to correctly recognize the traffic situation and provide the driver with the corresponding assistance by providing notification or alert about the situation or the infraction that was committed, or acting directly on the vehicle. To do so, we need to consider the signal processing related to these context parameters. We built knowledge representation using ontology, built rules related to the fusion of context parameters and the deduction corresponding to the traffic situation using Semantic Web Rule Language. We built fission component that deals with traffic situation and the corresponding action directed towards the driver or the vehicle. Ontology is used to represent driving model and road environment. This work is our contribution in the ongoing research for the prevention of vehicular traffic accident.