Techniques are presented for the detection and management of collision warning (CW) events. A training dataset comprising videos of vehicle collisions and non-collisions, sensor readings, environmental conditions, and more is utilized to train a CW classification model for detecting potential collision events in vehicles. A backend CW classification model, with greater computational resources, employs a more complex neural network to review CW events received by the Behavioral Monitoring System (BMS) based on video data, achieving higher precision and reducing false positives. The CW model is installed in vehicles for real-time detection, while the backend model is deployed at the BMS. The BMS validates detected CW events, filters out false positives, and streamlines the review process for fleet administrators and customers. Additional BMS filtering operations include assessing non-proximity-related CW events and camera impairments, with the filtered CW events presented for review in the safety inbox.


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    Titel :

    Forward collision warning


    Beteiligte:
    ANNIGERI ROHIT (Autor:in) / SRINIVASAN SHARAN (Autor:in) / LAI KEVIN (Autor:in) / CAZARIN JOSE (Autor:in) / WESTPHAL BRIAN (Autor:in) / BALA SHIVA (Autor:in) / STOEV IVAN (Autor:in) / BOYLE DOUGLAS (Autor:in) / JURDEN COLE (Autor:in) / FINCH MARGARET IRENE (Autor:in)

    Erscheinungsdatum :

    08.04.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein



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