AN APPROACH FOR BEHAVIOR SELECTION IN AN AUTONOMOUS VEHICLE

Abstract Selecting the current driving behaviors in an autonomous vehicle is a complex task with many influencing factors. To solve this task, a huge base has to be evaluated for fuzzy data in a timely manner. This paper presents an approach tailored for the use in a biologically motivated behavior network. The approach features a loose coupling to the scene interpretation. It is demonstrated by means of a turn-to-right maneuver of an autonomous car.