The invention discloses a robust trajectory prediction method and system based on a decoupling space-time network. The method comprises the steps that a vehicle trajectory data set is acquired and preprocessed; constructing a decoupling space-time network model; and inputting the preprocessed vehicle track data set into the decoupling space-time network model to obtain a vehicle track future signal. According to the method, a reliable prediction result can be provided no matter whether historical signals are disturbed or not.

    本发明公开了一种基于解耦时空网络的鲁棒轨迹预测方法及系统,包括:获取车辆轨迹数据集并进行预处理;构建解耦时空网络模型;将预处理后的所述车辆轨迹数据集输入所述解耦时空网络模型,获得车辆轨迹未来信号。本发明不论在历史信号受到扰动与否,都能提供可靠的预测结果。


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    Title :

    Robust trajectory prediction method and system based on decoupling space-time network


    Additional title:

    一种基于解耦时空网络的鲁棒轨迹预测方法及系统


    Contributors:
    GUO CANYANG (author) / LIU CHAO (author) / CAI DANLIN (author) / ZENG TAISHENG (author) / XIAHOU JIANBING (author) / ZHU DAXIN (author) / SU YUCHAO (author)

    Publication date :

    2025-01-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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