A pedestrian tracking system includes: a buffer or a memory configured to store a trajectory sequence of a pedestrian; a step attention module and a control module. The step attention module iteratively performs a step attention process to predict states of the pedestrian. Each iteration of the step attention process includes the step attention module: learning the stored trajectory sequence to provide time-dependent hidden states, reshaping each of the time-dependent hidden states to provide two-dimensional tensors; condensing the two-dimensional tensors via convolutional networks to provide convolutional sequences; capturing global information of the convolutional sequences to output a set of trajectory patterns represented by a new sequence of tensors; learning time-related patterns in the new sequence and decoding the new sequence to provide one or more of the states of the pedestrian; and modifying the stored trajectory sequence to include the predicted one or more of the states of the pedestrian.


    Access

    Download


    Export, share and cite



    Title :

    SEQUENTIAL PEDESTRIAN TRAJECTORY PREDICTION USING STEP ATTENTION FOR COLLISION AVOIDANCE


    Contributors:
    MASOUD NEDA (author) / BANDEGI MAHDI (author) / LULL JOSEPH (author) / MALHAN RAJESH (author) / ZHANG ETHAN (author)

    Publication date :

    2023-02-09


    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




    Pedestrian trajectory prediction-based vulnerable traffic participant collision avoidance method and device

    ZHAO YIMING / XU XINYI / MA ZE et al. | European Patent Office | 2023

    Free access

    CYCLIST/PEDESTRIAN COLLISION AVOIDANCE SYSTEM

    FARJADIAN AMIR / KONG QINGCHAO | European Patent Office | 2016

    Free access

    Method for planning vehicle collision avoidance trajectory under pedestrian crossing working condition

    WANG CHUNYAN / FENG JIAN / KUANG DENGMING et al. | European Patent Office | 2020

    Free access

    Pedestrian Collision Avoidance Using Deep Reinforcement Learning

    Rafiei, Alireza / Fasakhodi, Amirhossein Oliaei / Hajati, Farshid | Springer Verlag | 2022