An Ontology based Map Converter for Intelligent Vehicles

Sophisticated digital map is an essential resource for intelligent vehicles to localize and retrieve environment information. However, the open map resource do not contain enough information for decision making during autonomous driving. Although comprehensive commercial map can provide precise map knowledge, the data format is not in a machine-readable format. Therefore, we retrieve useful knowledge from high-precision commercial map and convert it into ontology based data to help intelligent vehicles perceive driving environment and make decisions at various traffic scenarios. Furtheremore, the converted map data can be used as a golden standard for evaluating traffic sign detection, road mark detection, and automatic map construction.