Systems and methods of the present disclosure include a motion planning module that iteratively determines possible trajectories for a vehicle to follow, calculates an estimated cost associated with each possible trajectory based on cost functions and cost weights, each cost function corresponding to a trajectory evaluation feature, and selects an optimal trajectory having a least associated estimated cost. When the vehicle is operated in a learning mode, a learning module determines a first actual trajectory traveled by the vehicle, compares the first actual trajectory with the optimal trajectory for that time period, and updates the cost weights based on the comparison. When the vehicle is operated in a teaching mode, a teaching module determines a second actual trajectory traveled by the vehicle, compares the second actual trajectory with the optimal trajectory selected for that time period, and generates output to a user of the vehicle based on the comparison.


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    Title :

    Autonomous Coach Vehicle Learned From Human Coach


    Contributors:
    XU YUNFEI (author) / BANDO TAKASHI (author)

    Publication date :

    2020-12-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein / 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 / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL





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