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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting Hazardous Events: A Framework for Automated Vehicle Safety Systems




    Publication date :

    2022-10-08


    Size :

    1619594 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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 | European Patent Office | 2025

    Free access

    VEHICLE-CARRIED HAZARDOUS CHEMICAL SAFETY MONITORING SYSTEM

    LIU CAIXIA | European Patent Office | 2023

    Free access

    AUTOMATED DETECTION OF HAZARDOUS DRIFTING VEHICLES BY VEHICLE SENSORS

    JURCA RAZVAN-CALIN / PAHONTU NICOLAE / KRISTENSEN STEEN et al. | European Patent Office | 2018

    Free access