Sensor data collected from an autonomous vehicle can be labeled using sensor data collected from an additional vehicle. Labeled sensor data can generate targeted testing instances for a trained machine learning model, where the trained machine learning model is used in generating control signals for an autonomous vehicle. In many implementations, targeted training instances can generate an accuracy value for the trained neural network model. Additionally or alternatively, the sensor suite on the additional vehicle can include a removable hardware pod which can be mounted on a variety of vehicles.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Generating Testing Instances for Autonomous Vehicles


    Beteiligte:

    Erscheinungsdatum :

    27.01.2022


    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 / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte



    Generating Labeled Training Instances for Autonomous Vehicles

    VALOIS JEAN-SEBASTIEN / PILARSKI THOMAS / MUNOZ DANIEL | Europäisches Patentamt | 2022

    Freier Zugriff

    Generating Labeled Training Instances for Autonomous Vehicles

    VALOIS JEAN-SEBASTIEN / PILARSKI THOMAS / MUNOZ DANIEL | Europäisches Patentamt | 2020

    Freier Zugriff

    Generating Labeled Training Instances for Autonomous Vehicles

    VALOIS JEAN-SEBASTIEN / PILARSKI THOMAS / MUNOZ DANIEL | Europäisches Patentamt | 2025

    Freier Zugriff

    Generating labeled training instances for autonomous vehicles

    VALOIS JEAN-SEBASTIEN / PILARSKI THOMAS / MUNOZ DANIEL | Europäisches Patentamt | 2022

    Freier Zugriff

    GENERATING AND CHARACTERIZING SCENARIOS FOR SAFETY TESTING OF AUTONOMOUS VEHICLES

    Ghodsi, Zahra / Hari, Siva Kumar Sastry / Frosio, Iuri et al. | British Library Conference Proceedings | 2021