The driving domain is inherently dangerous. To develop connected and automated vehicles that can detect potential sources of harm, we must clearly define these hazardous events and metrics to detect them. The majority of driving scenarios we face do not materialise harm, but we often face potentially hazardous near-miss scenarios. Potential harm is difficult to quantify when harm is not materialised; thus, few metrics detect these scenarios in the absence of collision and even fewer datasets label non-collision-based hazardous events. This study focuses on detecting near-miss scenarios due to other actors since human error is the primary source of harm. We first provide a concise overview of current event-specific metrics. We then propose an event-agnostic detection framework that exploits vehicle kinematics to detect evasive manoeuvres early and dynamically calculate minimum safe distances. Given inconsistent dataset labelling methods and collision-focused events, we provide a preliminary study to demonstrate an event-agnostic and configurable dataset annotation technique to label hazardous events, even when harm is not materialised. We show promising results detecting hazardous scenes on a labelled simulation benchmark, GTACrash.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detecting Hazardous Events: A Framework for Automated Vehicle Safety Systems


    Beteiligte:


    Erscheinungsdatum :

    08.10.2022


    Format / Umfang :

    1619594 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Measuring automated vehicle safety : forging a framework

    Fraade-Blanar, Laura / Blumenthal, Marjory S. / Anderson, James M. et al. | TIBKAT | 2018


    A Proposed Safety Case Framework for Automated Vehicle Safety Evaluation

    Wishart, Jeffrey / Zhao, Junfeng / Woodard, Braeden et al. | IEEE | 2023


    VEHICLE-CARRIED HAZARDOUS CHEMICAL SAFETY MONITORING SYSTEM

    LIU CAIXIA | Europäisches Patentamt | 2025

    Freier Zugriff

    VEHICLE-CARRIED HAZARDOUS CHEMICAL SAFETY MONITORING SYSTEM

    LIU CAIXIA | Europäisches Patentamt | 2023

    Freier Zugriff

    AUTOMATED DETECTION OF HAZARDOUS DRIFTING VEHICLES BY VEHICLE SENSORS

    JURCA RAZVAN-CALIN / PAHONTU NICOLAE / KRISTENSEN STEEN et al. | Europäisches Patentamt | 2018

    Freier Zugriff