An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provided to a machine learning based model along with an expected turn direction of the autonomous vehicle to determine a hidden context attribute of a traffic entity given the expected turn direction of the autonomous vehicle. The hidden context attribute of the traffic entity represents factors that affect the behavior of the traffic entity, and the hidden context attribute is used to predict future behavior of the traffic entity. Instructions to control the autonomous vehicle are generated based on the hidden context attribute.


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    Titel :

    NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY


    Beteiligte:

    Erscheinungsdatum :

    18.11.2021


    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 / G06K Erkennen von Daten , RECOGNITION OF DATA



    Navigation of autonomous vehicles using turn aware machine learning based models for prediction of behavior of a traffic entity

    ANTHONY SAMUEL ENGLISH / HARTMANN TILL S / MAAT JACOB REINIER et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    TURN AWARE MACHINE LEARNING FOR TRAFFIC BEHAVIOR PREDICTION

    ANTHONY SAMUEL ENGLISH / HARTMANN TILL S / MAAT JACOB REINIER et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    TURN AWARE MACHINE LEARNING FOR TRAFFIC BEHAVIOR PREDICTION

    ANTHONY SAMUEL ENGLISH / HARTMANN TILL S / MAAT JACOB REINIER et al. | Europäisches Patentamt | 2024

    Freier Zugriff