Disclosed are systems, apparatuses, methods, and computer-readable media to train a neural network model implemented into a perception stack in an autonomous vehicle (AV) for detecting objects. A method includes pretraining an uninitialized ML model to yield a first ML model; training the first ML model with a first testing dataset for a first number of iterations based on a first configuration; analyzing the first ML model based on a convergence of the first ML model and a previous iteration of training; generating a report based on the analysis of the first ML; and after generating the report, training the first ML model to yield a second ML model.


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    Titel :

    Advanced Neural Network Training System


    Beteiligte:
    MAHENDRAN SIDDHARTH (Autor:in) / LIU TENG (Autor:in) / LEE YONG JAE (Autor:in) / PARANDEHGHEIBI MARZIEH (Autor:in)

    Erscheinungsdatum :

    13.07.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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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