An Extensible Semantic Data Fusion Framework for Autonomous Vehicles

Fully autonomous vehicles may still be an elusive
goal, however, research in the deployment of relevant Artificial
Intelligence technologies in the domain is rapidly gaining
traction. A key challenge lies in the fusion of all the diverse
information from the various sensors on the vehicle and its
environment. In this context, ontologies and semantic
technologies can effectively address this challenge by
semantically fusing heterogeneous pieces of information into a
uniform Knowledge Graph. This paper presents CASPAR, an
extensible semantic data fusion platform for autonomous
vehicles. Two use case scenarios are also presented that
demonstrate the framework’s versatility.