Ontologies for Advanced Driver Assistance Systems

Abstract

Many Advanced Driver Assistance Systems (ADAS) have been developed to improve car safety. A Knowledge Base is indispensable for autonomous vehicles to perceive driving environments and understand traffic regulations. In this paper, we introduce an ontology-based Knowledge Base, which contains maps and traffic regulations. By accessing to the Knowledge Base, the intelligent vehicles can aware overspeed situations and make decisions at intersections in comply with traffic regulations. Two simple ADAS systems are developed based on the Knowledge Base. We conducted field test with an intelligent vehicle to evaluate the ADAS systems.