DESIGN OF A DRIVER ASSISTANCE SYSTEM FOR PASSENGER VEHICLES
CONCEPTION D’UN SYSTÈME D’AIDE A LA CONDUITE POUR VEHICULE DE TOURISME (ANTICOLLISION)
Résumé
A study of Automobile fleet in Cameroon shows that, tourisms vehicles represent over 56.4% of Cameroon’s Automobile fleet and these vehicles are the most involved in accidents in urban towns like Douala. The World health Organisation’s (WHO) report on road security in 2013 precise that, in Cameroon one vehicle kills an average of 123.8 times more than in developed countries. The same report states that, Cameroon registers and average of 2000 accidents yearly and that 87% are due to human causes (inattentiveness, over speeding). With pedestrians and light vehicles (bicycles, motorcycles and tricycles) representing 25% and 44% of casualties often involved in these accidents. Vehicle manufacturers are dressing these challenges by developing Advance Drivers Assistance Systems (ADAS) which also involve Collision Avoidance systems (CAS). This thesis aims at developing a new CAS based in sensor solutions that will make vehicles «to look ahead
» and detect obstacles (vehicles and pedestrians) in their surroundings and avoid collision either by braking, deviating or by braking and deviating at the same time in accidental condition where the driver could not react on time. It investigates the state of the art in this domain, reviewing deliberative and active methods, video-based approaches (stereo vision camera), approaches involving active sensors (Radar) and Artificial intelligence (AI).
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