According to one aspect, a system for interaction-aware trajectory planning may include a memory storing one or more instructions and a processor executing one or more of the instructions stored on the memory to perform one or more steps, one or more acts, or one or more actions. For example, the processor may perform determining an interaction-aware trajectory for an autonomous vehicle (AV) traveling in an operating environment including one or more other vehicles using model predictive control (MPC) optimization. The MPC optimization may integrate a neural network which receives one or more observations of the AV and one or more observations of one or more of the other vehicles and outputs predicted trajectories for the AV and one or more of the other vehicles a time step into the future. The processor may perform implementing the interaction-aware trajectory for the AV.


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    Title :

    INTERACTION-AWARE TRAJECTORY PLANNING


    Contributors:
    GUPTA PIYUSH (author) / ISELE DAVID F (author) / BAE SANGJAE (author)

    Publication date :

    2024-05-23


    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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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