Automated driving is still waiting for its major breakthrough and mainstream adoption. One roadblock for mass deployment in crowded and unstructured environments such as urban traffic is the high degree of uncertainty that significantly reduces the vehicle's usability using today's safety solutions. To tackle this challenge, this paper presents SafeADArchitect, an end-to-end architecture for automated vehicles that ensures usability and safety at the same time. It covers major influencing factors to driving safety from the driving platform, sensor limitations or behavior uncertainties through occlusions, inefficiencies of AI-based perception or planning approaches via adequate safety modules and by mapping possible errors to associated driving risks. Hence, by knowing the overall acceptable risk, reasonable driving decisions can be taken that balance usability and safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SafeADArchitect: End-to-End Architecture for Safe and Risk-Aware Automated Driving in Urban Environments


    Contributors:


    Publication date :

    2024-09-24


    Size :

    5397378 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An architecture for automated driving in urban environments

    Chen, Gang / Fraichard, Thierry | Tema Archive | 2008


    Fail-safe EE architecture for automated driving

    HOGENMUELLER THOMAS / HUCK THORSTEN / KERSKEN ULRICH et al. | European Patent Office | 2017

    Free access

    SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems

    Samadi, Amir / Shirian, Amir / Koufos, Konstantinos et al. | IEEE | 2023


    Safe Integration of Fully Automated Road Transport Systems in Urban Environments

    Csepinszky, Andras / Giustiniani, Gabriele / Holguin, Carlos et al. | Transportation Research Record | 2019


    Evaluation of automated driving safety in urban mixed traffic environments

    Sangjae Lee / Young Jo / Aram Jung et al. | DOAJ | 2024

    Free access