An assessment system obtains a state of the vehicle, and identifies lane segments void from road users. Input having data associated with the lane segments, data associated with the road users states and historic data associated with the road users states and/or lane segments, is encoded into respective states-related data associated with the road users states and segment-related data associated with dynamic start and end boundaries of the lane segments. One or more neural networks encode the road users states in view of the lane segments spatially and temporally, and output spatial- and temporal-processed respective states-related data and segment-related data. The output data associated with one or more of the road users (target road users) is fed to at least a first behavior-predicting neural network to predict and output data indicating predicted near-future behavior of the target road users in view of one or more of the lane segments.


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    Title :

    PREDICTION OF NEAR-FUTURE BEHAVIOR OF ROAD USERS


    Contributors:
    LIU DAPENG (author) / FU JUNSHENG (author)

    Publication date :

    2023-11-09


    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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