Situation Awareness & Decision-making for Autonomous Driving

Christian Laugier (1)

1 CHROMA - Robots coopératifs et adaptés à la présence humaine en environnements dynamiques

Invited Talk. Motion Autonomy and Safety issues in Autonomous Vehicles are strongly dependent upon the capabilities and performances of both Embedded Perception and Decision-making systems. This talk presents how it is possible to address these important issues by mixing Bayesian and Machine Learning approaches. The talk will be illustrated using results obtained by Inria Grenoble Rhône-Alpes (France) in the scope of several R&D projects conducted in collaboration with IRT Nanoelec (French Technological Research Institute) and with several industrial companies such as Toyota or Renault.

Mots clés: Autonomous Driving; Machine Learning; Bayesian Perception; Situation Awareness; Decision-making; Artificial Intelligence

Domaines: Robotique [cs.RO]; Intelligence artificielle [cs.AI]

Christian Laugier. Situation Awareness & Decision-making for Autonomous Driving. IROS 2019 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov 2019, Macau, China. pp.1-25. ⟨hal-02429023⟩