The present technology is directed to training and using a machine learning model to predict a likelihood of a counterfactual safety critical event in autonomous vehicle (AV) driving in a projected scenario occurring after a human takes over control of an AV. An AV management system can identify driving data collected from periods around an occurrence of a human take over event where a human takes over control of an AV. The AV management system can project a scenario that would have resulted if the human did not take over control of the AV based on the driving data and output a counterfactual safety score for the projected scenario. The counterfactual safety score can indicate a probability of a counterfactual collision between the AV and the at least one object in the projected scenario.


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    Titel :

    SAFETY MEASUREMENT FOR A COUNTERFACTUAL RISK IN AUTONOMOUS VEHICLE DRIVING


    Beteiligte:
    CHI-JOHNSTON GEOFFREY LOUIS (Autor:in) / FREEMAN LAURA ATHENA (Autor:in) / ROLAND CHRISTOPHER BRIAN (Autor:in) / TIEN DANIEL (Autor:in) / TIAN FENG (Autor:in) / MIN SEUNGHYUN (Autor:in) / HUANG LEI (Autor:in) / PLASCENCIA-VEGA DIEGO (Autor:in) / JIN OU (Autor:in)

    Erscheinungsdatum :

    26.10.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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