Disclosed is an evaluation device for determining a vehicle action, wherein the evaluation device is configured to supply an artificial neural network, which outputs the vehicle action, with data regarding a vehicle environment. The artificial neural network predicts an accident situation on the basis of these data, to evaluate a damage function for personal injury and/or material damages, calculated on the basis of simulated vehicle actions, and to determine the vehicle action for which the damage function delivers the lowest results in this accident situation. Also disclosed is a computer program product for obtaining a damage function based on personal injury and/or material damages, a method for training an artificial neural network that minimizes a damage function through reinforcement learning, a system for controlling a vehicle for making situation-dependent decisions, and a driver assistance system that has a system according to the disclosure, or an artificial neural network.


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    Title :

    SITUATION-DEPENDENT DECISION-MAKING FOR VEHICLES


    Contributors:

    Publication date :

    2019-12-19


    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 / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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