Perception for Risk Prediction and Autonomous Driving (invited talk)
Perception pour la prédiction du risque et pour la conduite autonome
Résumé
Content of the talk:
•State of the art and required R&D new developments
•A first key technology : Embedded Bayesian Perception (Basic principles, framework and main implementation issues)
•An additional key technology: Prediction, Short-term & Medium-term Collision risk assessment, Decision-making for Autonomous Driving
•Recent experimental results in the scope of some R&D projects with IRT Nanoelec, Toyota and Renault.