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RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models
For that purpose, Knowledge Graph Embeddings (KGE) and Bayesian inference are combined to allow the deployment of a fully inductive reasoning system that enables the issuing of predictions that rely on legacy information contained in the graph as well as on current evidence gathered in real time by onboard sensors.
Testing predictive automated driving systems: lessons learned and future recommendations
Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess required safety levels.
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