logo EDITE Pierre DE BEAUCORPS
Identité
Pierre DE BEAUCORPS
État académique
Thèse en cours...
Sujet: Autonomous vehicle: behavior prediction and Interaction with road users
Direction de thèse:
Encadrement de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-01531516
Decision-making for automated vehicles at intersections adapting human-like behavior
International audience
Learning from human driver’s strategies for solving complex and potentially dangerous situations including interaction with other road users has the potential to improve decision-making methods for automated vehicles. In this paper, we focus on simple unsignalized intersections and roundabouts in presence of another vehicle. We propose a human-like decision-making algorithm for these scenarios built up from human drivers recordings. The algorithm includes a risk assessment to avoid collisions in the intersection area.Three road topologies with different interaction scenarios were presented to human participants on a previously developed simulation tool. The same scenarios have been used to validate our decision-making process. The algorithm showed promising results with no collisions in all setups and the ability to successfully determine to go before or after another vehicle.
IV'17 - IEEE Intelligent Vehicles Symposium https://hal.inria.fr/hal-01531516 IV'17 - IEEE Intelligent Vehicles Symposium, Jun 2017, Redondo Beach, United States. 2017, <http://iv2017.org/> http://iv2017.org/ARRAY(0x7f5471a72c90) 2017-06-11