A learning-based lane change prediction algorithm, and systems and methods for implementing the algorithm, are disclosed. The prediction algorithm evaluates the driving behaviors of a target human driver and predicts lane change maneuvers based on those personalized driving behaviors. The algorithm may include an online lane change decision prediction phase and an offline prediction training and cost function recovery phase. During the offline training phase, a machine learning model may be trained based on historical vehicle states. During the online validation phase, driving data may be collected and fed to the trained model to predict a driver's lane change maneuver, identify potential vehicle trajectories, and determine a most probable vehicle trajectory based on a driver's cost function recovered during the offline phase.


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    Title :

    PERSONALIZED VEHICLE LANE CHANGE MANEUVER PREDICTION


    Contributors:
    WANG ZIRAN (author) / HAN KYUNGTAE (author) / GUPTA ROHIT (author) / TIWARI PRASHANT (author)

    Publication date :

    2023-10-12


    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



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    Autonomous Vehicle Lane Change Maneuver: A Comprehensive Analysis

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    Vehicle lane change maneuver in automated highway systems

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    Personalized maneuver prediction at intersections

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