Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model. The projected features are aggregated with other projected features associated with prior images. Images depicting static objects in the birds-eye view are output.


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    Titel :

    VISION-BASED MACHINE LEARNING MODEL FOR AGGREGATION OF STATIC OBJECTS AND SYSTEMS FOR AUTONOMOUS DRIVING


    Beteiligte:
    CARVALHO MICAEL (Autor:in) / EMMONS JOHN (Autor:in) / CHO PATRICK (Autor:in) / EMI BRADLEY (Autor:in) / JAIN SAACHI (Autor:in) / DESAI NISHANT (Autor:in) / DUAN TONY (Autor:in)

    Erscheinungsdatum :

    2023-02-23


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / 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



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    CHIANG SU HUI / LIU MING CHANG | Europäisches Patentamt | 2019

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    VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING

    CHIANG SU-HUI / LIU MING-CHANG | Europäisches Patentamt | 2019

    Freier Zugriff