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The latest generation of cars are increasingly equipped with driver assistance systems called ADAS (advanced driver assistance systems) which are able to assist the car driver in different driving scenarios, and in the most advanced automation levels, able to take over driving the car if required due to dangerous situations. Therefore, it is essential to adapt the ADAS specifically to the car-driver's identity in order to better customize the driving assistance. To this end, algorithms thatdoi:10.3390/electronics9040616 fatcat:ljwdly5yerebhajpnfkcrxj4ti