Autonomous driving has, in recent years, gained considerable traction due to commercial interest by car manufacturers, that envision a widespread use of self-driving cars in the next decade. Research has mainly focused on specific topics, that can enable the feasibility of robust artificial autonomous agents for autonomous vehicles (AVs), ranging from artificial vision, to automatic environmental sensing and inference, agent-agent interaction and sensor augmentation and integration. A somewhat reduced effort has been directed towards the evaluation of human-AV interaction and in the direction of defining acceptable rules of engagement when AV deal with human drivers. This aspect of autonomous driving will became extremely relevant in the next years as level 5 AVs will make their appearance on our streets and most of the cars will still be driven by humans. To assess, experimentally, how AVs can successfully interact with human drivers we have constructed a lab setup, which can simulate a large range of situations in which human drivers encounter AVs and interact with them. Based on the Unity Gaming Engine an urban environment has been developed where AVs interact with human driven cars, pedestrians and various agents. This setup allows for human subjects to drive in a virtual reality (VR) environment, and assess their behavior during the interaction with other human drivers and AVs. The goal is to define a set of rules that can be applied in AV design, to make autonomous cars react to human drivers, taking into account the behavioral patterns and variable respect of traffic regulations that human drivers exhibit in real environments. We present an early experimental setup, potentially useful for understanding, in a quantitative and reproducible way, how this approach can contribute in designing AVs that are more suited for large scale deployment.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A flexible virtual environment for autonomous driving agent-human interaction testing


    Contributors:


    Publication date :

    2020-11-18


    Size :

    20533489 byte



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    VIRTUAL TESTING OF AUTONOMOUS ENVIRONMENT CONTROL SYSTEM

    KONRARDY BLAKE / CHRISTENSEN SCOTT T / HAYWARD GREGORY et al. | European Patent Office | 2024

    Free access

    Virtual testing of autonomous environment control system

    KONRARDY BLAKE / CHRISTENSEN SCOTT T / HAYWARD GREGORY et al. | European Patent Office | 2024

    Free access

    Driving environment scenario generator for autonomous driving testing using digital twin technology

    KIM TAG GON / YANG YOUNG JIN / YOO HO DONG | European Patent Office | 2022

    Free access


    HUMAN TRUST CALIBRATION FOR AUTONOMOUS DRIVING AGENT OF VEHICLE

    AKASH KUMAR / MISU TERUHISA | European Patent Office | 2021

    Free access