Qualitative Mapping of Sensory Data for Intelligent Vehicles
نویسندگان
چکیده
Recent advances in the field of intelligent vehicles have shown the applicability and utility for driver assistance systems, or even letting a car drive autonomously on highways. Usually these approaches are on a rather quantitative level. This hampers their capability to cope situations of great complexity in which humans need a lot of knowledge to act safely, for instance in city traffic. A qualitative representation of traffic scenes allows for formulating and using common sense knowledge in a human-comprehensible and machineprocessable way. A vocabulary for such a representation is proposed and a prototype that does the qualitative abstraction for knowledge-based behaviour control is presented and evaluated. Experiments in a simulation environment show the applicability of the approach for intelligent vehicles.
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