Disclosed are embodiments for facilitating generative artificial intelligence to generate multiple autonomous vehicle future trajectories. In some aspects, an embodiment includes receiving input data to a generative pre-trained transformer (GPT)-based trajectory generation model, wherein the input data comprises vector map representations, nearby actor history, and autonomous vehicle (AV) history of an AV; generating map tokens from the vector map representations and generating agent tokens from the nearby actor history and the AV history; inputting a concatenated set of the map tokens and the agent tokens into an encoder transformer of the GPT-based trajectory generation model; outputting, by the encoder transformer, an output embedding that is representative of a scene of the AV; and determining, by a decoder of the GPT-based trajectory generation model, a sequence of AV waypoint predictions for the AV based on the output embedding.


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    Title :

    GENERATIVE ARTIFICIAL INTELLIGENCE TO GENERATE MULTIPLE AUTONOMOUS VEHICLE FUTURE TRAJECTORIES


    Contributors:
    ZHANG XIACHAN (author) / HUANG XIN (author) / DONG ZISU (author) / CHAI YUNING (author)

    Publication date :

    2025-07-03


    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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS



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