Evidential-Based Approach for Trajectory Planning With Tentacles, for Autonomous Vehicles

Hafida Mouhagir (1) , Reine Talj (2, 1) , Véronique Cherfaoui (1) , François Aioun (3) , Franck Guillemard (3)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
2 Labex MS2T - Laboratoire d'Excellence "Maîtrise des Systèmes de Systèmes Technologiques"
3 PSA Peugeot-Citroen

Driving is a combination of continuous mental risk assessment, sensory awareness, and judgment, all adapting to extremely variable surrounding conditions. Several research projects are working on autonomous vehicle to robotize this complex task. The work presented in this paper focuses on

Domaines: Automatique / Robotique

Hafida Mouhagir, Reine Talj, Véronique Cherfaoui, François Aioun, Franck Guillemard. Evidential-Based Approach for Trajectory Planning With Tentacles, for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2019, 21 (8), pp.3485-3496. ⟨10.1109/TITS.2019.2930035⟩. ⟨hal-02367449⟩