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Communication Dans Un Congrès Année : 2022

Dynamic Context Awareness in Autonomous Navigation

Résumé

Many studies faced the problem of vehicle autonomous navigation in different fields, but nowadays just a few of them uses all the implicit information coming from the context in which such navigation is occurring. This results in a huge potential information loss that prevents us from adapting the vehicle's behavior to each different situation it may be in. In a previous work, we defined a method to model the static context of navigation using ontologies and take it into account in the command law when performing a local navigation task. In this paper, we extend our model of the context of navigation, and define a software architecture able to update the context dynamically, by using sensor information. The method is tested with real-time experiments on driving simulator. They show that the Context of Navigation can be effectively updated during the navigation and leads to a smarter vehicle's behavior on the road.
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Dates et versions

hal-03934443 , version 1 (11-01-2023)

Identifiants

Citer

Selim Chefchaouni Moussaoui, Hugo Pousseur, Alessandro Corrêa Victorino, Marie-Hélène Abel. Dynamic Context Awareness in Autonomous Navigation. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2022), Oct 2022, Prague, Czech Republic. pp.2808-2813, ⟨10.1109/SMC53654.2022.9945347⟩. ⟨hal-03934443⟩
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