A Knowledge Networking Approach for AI-driven Roundabout Risk Assessment

Smart applications in vehicular networks, such as highly-automated driving, require knowledge to support complex decision making which is highly dependent on the current driving context, for example, through machine learning based object recognition. Unlike information, the pertinence of a knowledge model depends on its context of use, rather than its date of creation. In turn, the existing inform...