This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle’s movements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Game theoretic decision making for autonomous vehicles’ merge manoeuvre in high traffic scenarios


    Beteiligte:
    Garzon, Mario (Autor:in) / Spalanzani, Anne (Autor:in)


    Erscheinungsdatum :

    01.10.2019


    Format / Umfang :

    1828553 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Decision Making in Urban Traffic: A Game Theoretic Approach for Autonomous Vehicles Adhering to Traffic Rules

    Shu, Keqi / Ning, Minghao / Alghooneh, Ahmad et al. | ArXiv | 2025

    Freier Zugriff

    A Three-Level Game-Theoretic Decision-Making Framework for Autonomous Vehicles

    Liu, Mushuang / Wan, Yan / Lewis, Frank L. et al. | IEEE | 2022


    Game Theoretic Decision-Making for Autonomous Driving Considering Traffic Rules at Roundabouts

    Huang, Liting / Chu, Duanfeng / Deng, Zejian et al. | IEEE | 2024