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    Operation of a vehicle using motion planning with machine learning

    Operation of a vehicle using motion planning with machine learning

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    Techniques for operation of a vehicle using machine learning with motion planning include storing, using one or more processors of a vehicle located within an environment, a plurality of constraints for operating the vehicle within the environment. One or more sensors of the vehicle receive sensor data describing the environment. The one or more processors extract a feature vector from the stored plurality of constraints and the received sensor data. The feature vector includes a first feature describing an object located within the environment. A machine learning circuit of the vehicle is used to generate a first motion segment based on the feature vector. A number of violations of the stored plurality of constraints is below a threshold. The one or more processors operate the vehicle in accordance with the generated first motion segment.

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    Titel :

    Operation of a vehicle using motion planning with machine learning

    Beteiligte:
    VORA SOURABH (Autor:in) / BEIJBOM OSCAR OLOF (Autor:in) / LIU SHIH-YUAN (Autor:in) / WONGPIROMSARN TICHAKORN (Autor:in) / DE FRANCESCO DANIELE (Autor:in) / PENDLETON SCOTT D (Autor:in)
    Erscheinungsdatum :

    2022-05-03

    Medientyp :

    Patent

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Klassifikation :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G01S RADIO DIRECTION-FINDING , Funkpeilung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS

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