Techniques predicting object trajectories and metadata are described herein. For example, the techniques may include inputting data representing a top-down view of an environment into a machine learned model. In some examples, the top-down view can include rasterized data or vectorized data. The machine learned model may output trajectories (e.g., position data, velocity data, acceleration data, etc.) and metadata (e.g., yaw, object state data, etc.) of one or more objects in the environment indicating future positions of the object(s). The machine learned model may rank the output trajectories and send information about the ranked output trajectories to a vehicle computing device for consideration during vehicle planning including simulation.


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    Titel :

    Object trajectory determination


    Beteiligte:

    Erscheinungsdatum :

    20.08.2024


    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 / G06V




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