Modélisation du changement de voie de véhicules autonomes à différents niveaux d'abstraction

Abstract : The behavioral analysis of autonomous vehicles represents a major challenge in the automotive world. In order to ensure safe and fluid driving, several methods can be applied, including computer simulation. The analysis, however, must take into account a large number of parameters revolving in real time. In this context, we study the lane change of a vehicle at different levels of abstraction. This leads us to determine the properties that can be validated with a higher level of abstraction, where the parameter space is reduced, allowing a more efficient analysis.
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https://hal.archives-ouvertes.fr/hal-02062425
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  • HAL Id : hal-02062425, version 1

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Jérémy Sobieraj, Lydie Nouveliere, Guillaume Hutzler, Hanna Klaudel. Modélisation du changement de voie de véhicules autonomes à différents niveaux d'abstraction. Journées Francophones sur les Systèmes Multi-Agents 2018 (JFSMA’2018), Oct 2018, Métabief, France. pp.21--30. ⟨hal-02062425⟩

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