Description:
Semantic enrichment enables the TeamMate car to attach semantic information to perceived traffic participants. Semantic information such as which maneuvers other traffic participants are allowed to do next is difficult to obtain from sensor inputs alone but critical to predicting future evolutions of traffic scenes. An ontology representing a taxonomy of scene elements and their relationships has been created using the Web Ontology Language (OWL). Traffic rules are made available using the Semantic Web Rule Language (SWRL). The modeled ontology captures semantic, temporal, and spatial relations between scene entities. Combining OWL and SWRL yields a complete knowledge base from which permissible maneuvers can be inferred at runtime when provided with the dynamic objects in the TeamMate car’s vicinity.

Where it is integrated?
VED vehicle demonstrator

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