Autonomous vehicle navigation with semantical modelling: A project overview

Alessandro Corrêa Victorino (1) , Marie-Hélène Abel (1)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

In this paper we consider the problem related to the autonomous navigation of a robotic vehicle by modeling and describing the semantics of the context associated to the navigation. Considering the semantical modelling of the navigation context, as obstacles, pedestrians, roundabouts, information on the vehicle itself (load, power, etc.), on the robotic vehicle, it is integrating to add this symbolic artificial intelligence to a classical navigation control scheme. This semantic modeling generates an additional degree of abstraction by "reasoning" about the information collected by the various sensors of the autonomous vehicle in order to build a navigation context. This navigation context is able to provide decision support for the autonomous or semi-autonomous vehicle (interaction to the driver). In this paper, we present a project developed at

Domaines: Informatique; Automatique / Robotique

Alessandro Corrêa Victorino, Marie-Hélène Abel. Autonomous vehicle navigation with semantical modelling: A project overview. 14th IEEE/SICE International Symposium on System Integration (SII 2022), Jan 2022, Narvik, Norway. pp.844-849, ⟨10.1109/SII52469.2022.9708871⟩. ⟨hal-03523324⟩