In some examples, a dynamic system, including a vehicle, may be represented using a graph-based representation. One or more nodes in the graph-based representation may correspond to one or more agents in the dynamic system, and one or more edges between the nodes in the graph-based representation may correspond to one or more interactions between the agents in the dynamic system. The interactions may be defined based on human domain knowledge of the dynamic system. The dynamic system may be modeled using a respective machine learning model that includes a reward decoder that operates on the graph-based representation and evaluates one or more reward functions for the dynamic system. The one or more reward functions may be defined based on the human domain knowledge of the dynamic system. Autonomous operation of the vehicle may be controlled based on the modeling of the dynamic system.


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    Title :

    Interpretable autonomous driving system and method thereof


    Contributors:

    Publication date :

    2025-01-28


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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 / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS



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