The invention provides a trajectory prediction method based on space-time interaction feature fusion. The trajectory prediction method comprises the following steps: collecting traffic participant information on a road in real time; constructing a traffic scene expression model based on the traffic participant information; constructing a multi-scale space-time diagram convolution model to enable the multi-scale space-time diagram convolution model to extract space-time interaction features of the traffic participants based on the traffic scene expression model; and constructing a trajectory prediction model to enable the trajectory prediction model to perform trajectory prediction based on the space-time interaction characteristics, and obtaining a prediction trajectory. According to the trajectory prediction method based on space-time interaction feature fusion provided by the invention, the traffic scene expression is constructed and the space-time interaction features of the traffic participants are extracted, so that the finally obtained vehicle prediction trajectory can capture the spatial correlation of the behaviors of the traffic participants on different time scales; and multi-scale space-time fusion interaction features are extracted, so that the precision of trajectory prediction can be effectively improved.

    本发明提供了一种基于时空交互特征融合的轨迹预测方法,包括以下步骤:实时采集道路上的交通参与者信息;基于交通参与者信息构建交通场景表达模型;构建多尺度时空图卷积模型,以令多尺度时空图卷积模型基于交通场景表达模型提取交通参与者的时空交互特征;构建轨迹预测模型,以令轨迹预测模型基于时空交互特征进行轨迹预测,获取预测轨迹。本发明提供的一种基于时空交互特征融合的轨迹预测方法,通过构建交通场景表达及提取交通参与者时空交互特征,使得最终得到的车辆预测轨迹可以捕捉交通参与者行为在不同时间尺度上的空间相关性,提取了多尺度的时空融合交互特征,可以有效改善轨迹预测的精度。


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    Titel :

    Track prediction method based on space-time interaction feature fusion


    Weitere Titelangaben:

    一种基于时空交互特征融合的轨迹预测方法


    Beteiligte:
    TANG LUQI (Autor:in) / LI TIANHUI (Autor:in) / LIN ZHIGUI (Autor:in) / GAN XIN (Autor:in) / ZHOU DINGLI (Autor:in)

    Erscheinungsdatum :

    06.05.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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