RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models

no code implementations • 1 May 2024 • Mohamed Manzour Hussien, Angie Nataly Melo, Augusto Luis Ballardini, Carlota Salinas Maldonado, Rubén Izquierdo, Miguel Ángel Sotelo

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.

Autonomous Driving Bayesian Inference +2

Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction

no code implementations • 5 Dec 2023 • Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo

The results offer experimental insights into achieving explainability and interpretability in the pedestrian crossing prediction task.

Autonomous Driving feature selection