A machine-learned architecture for estimating the cost determined by a cost function for a prediction node of a tree search for exploring potential paths for controlling a vehicle may include two portions: a set up portion that includes models trained to process static data and a second portion that processes dynamic object data. The respective portions of the architecture may comprise various models that determine intermediate outputs that may be projected into a space associated with estimated cost. That estimated cost may identify an estimate of an output of the cost function for paths that are based on a particular prediction node of the tree search.


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    Titel :

    MACHINE-LEARNED COST ESTIMATION IN TREE SEARCH TRAJECTORY GENERATION FOR VEHICLE CONTROL


    Beteiligte:
    CHANG YAN (Autor:in) / HUANG AARON (Autor:in) / SCHLEEDE PETER SCOTT (Autor:in) / LINSCOTT GARY (Autor:in) / KOBILAROV MARIN (Autor:in) / PRONOVOST ETHAN MILLER (Autor:in) / SUN KE (Autor:in) / XIE XIANGYU (Autor:in)

    Erscheinungsdatum :

    20.06.2024


    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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