Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleoperation with a distinct division of tasks between the Autonomous Vehicle (AV) and the remote human operator. This paper presents a novel approach for RA of AVs in urban environments. The concept draws in-spiration from the potential synergy between highly-automated systems and human operators to collaboratively solve complex driving situations. Utilizing a hybrid algorithm that makes use of the Operational Design Domain (ODD) modification idea, it considers actions that go beyond the nominal operational space. Combined with the advanced cognitive reasoning of the human remote operator the concept offers features that hold potential to significantly improve both RA and AD user experiences.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Collaborative Path Planning for Remote Assistance of Highly-Automated Vehicles


    Contributors:


    Publication date :

    2023-10-16


    Size :

    5571363 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Mapping and Path Planning Methods for Highly Automated Vehicles in Agriculture

    Mikhailov, V. S. / Khairullin, I. D. / Svyatov, K. V. | Springer Verlag | 2025



    Maneuver planning for highly automated vehicles

    Menéndez Romero, Cristina | TIBKAT | 2021

    Free access

    Maneuver planning for highly automated vehicles

    Menendez-Romero, Cristina / Winkler, Franz / Dornhege, Christian et al. | IEEE | 2017


    Maneuver planning for highly automated vehicles

    Menéndez-Romero, Cristina | DataCite | 2021