Labels:
deep-learning machine-learning knowledge-graphs reasoning human-ai-interaction hybrid-AI automated-driving multi-objective-decision-making
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Description

Making autonomous public transport aware of what is required at any moment for safe travel.

In the Mobility domain, TNO IVS has been working on Situational Aware AI for Automated Driving, meaning that the vehicle is aware of its capabilities in the current situation. TNO uses a hybrid-AI approach to determine the competence of an AI algorithm. Hybrid AI combines a data-driven approach with (expert-)knowledge in the form of knowledge graph Grakn. In OCCTAS, TNO will continue their research direction by making autonomous public transport aware of what is required at any moment for safe travel. A risk estimation of the actions which the AI-algorithms proposes will be a part of the development. A shuttle bus project in the Netherlands is chosen as application for the developed technology.

Contact

  • Jan-Pieter Paardekooper, Scientist, TNO, e-mail: jan-pieter.paardekooper@tno.nl