Operation of an autonomous vehicle is modified based on the driving style preferences of a passenger. A machine learning module for a motion planner of the autonomous vehicle accepts input relating to driving style of the autonomous vehicle including data representing autonomous vehicle speed, acceleration, braking, or steering during operation. The passenger also provides feedback relating to the vehicle's driving style during operation, and the passenger feedback is used to train the machine learning module to create a personal driving style decision-making model for the passenger that controls operation of the autonomous vehicle. A personal driving style preference profile for the passenger also may be obtained by collecting motion sensor data relating to driving habits of the passenger when the passenger is a driver. The driving style preference profile is used by the motion planner to modify operation of the autonomous vehicle in accordance with the driving style preference profile.


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    Title :

    PERSONAL DRIVING STYLE LEARNING FOR AUTONOMOUS DRIVING


    Additional title:

    LERNEN DES PERSÖNLICHEN FAHRSTILS FÜR AUTONOMES FAHREN
    APPRENTISSAGE DE STYLE DE CONDUITE PERSONNEL POUR UNE CONDUITE AUTONOME


    Contributors:
    ZHU JIAFENG (author) / LU HUILI (author) / ZHANG HONG (author)

    Publication date :

    2022-03-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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



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