Last decade has been characterized by a huge advancement in the field of automated and connected transport. However, fully autonomous systems still need a lot of effort in order to be applied in transportation. Meanwhile, mixed traffic environments with semi-autonomous vehicles is becoming a norm. In such conditions, vehicles are passing the dynamic driving task back to the human by sending to drivers Requests to Intervene (RtI). At the same time, there is a need to evolve driver’s training in order to be able to safely use semiautomated vehicles, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Furthermore, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models. In this conceptual paper we present our vision to maximise the safety, trust and acceptance of automated vehicles. To achieve that, we propose an assessment framework to evaluate different technologies involved in Automated Driving Systems (ADS). ; 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Italy, November, 18-20, 2020 – ISBN 978-8-8872-3749-8


    Access

    Download


    Export, share and cite



    Title :

    Bringing Trust to Autonomous Mobility



    Publication date :

    2020-11-18



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    380 / 629




    Bringing Trust to Autonomous Mobility

    Kosmides, Pavlos / Demestichas, Konstantinos / Avgerinakis, Konstantinos et al. | IEEE | 2020




    Autonomous Mobility Vehicle

    Brazil Coutinho, Alston / Ali Mirza, Rehan | IEEE | 2020


    Autonomous personal mobility systems

    LOUEY ANDREW / D'AGATA GAETANO / CAMERON GRAEME et al. | European Patent Office | 2019

    Free access