This paper addresses the interaction between the human driver and automation system in a Haptic Shared Control framework using a non-cooperative model predictive game approach. We model the human and automation’s interaction in a scenario when both driver and automation system detects an obstacle but select different paths for avoiding it. For such a situation, the effects of varying information patterns, namely the Nash and Stackelberg strategies on the shared steering angle are investigated. The simulation demonstrates the influences of the path-following weights on negotiating control authority between the human driver and the automation system.


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    Title :

    Modelling Non Cooperative Human-Automation Interactions in a Haptic Shared Control Framework


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    WCX SAE World Congress Experience ; 2019



    Publication date :

    2019-04-02




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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