The invention discloses a vehicle track prediction method based on a three-stage attention mechanism, and the method comprises the steps: S1, collecting data information, and carrying out the data preprocessing; s2, performing data set division according to the preprocessed data set; s3, constructing a vehicle track prediction model; s4, training a vehicle trajectory prediction model, and adopting negative logarithm likelihood as a loss function; s5, storing the trained data model, inputting the data in the test set into the trained network model, and predicting the track coordinates of the vehicle; by introducing an attention mechanism into the model, information most suitable for trajectory prediction is adaptively selected, and the performance of algorithm prediction is improved; the influence of the information on the prediction performance of the algorithm can be known through the weight of various information obtained by the attention mechanism, and the interpretability of the algorithm is improved; the influence of input information on the performance of a trajectory prediction algorithm is reflected according to an attention mechanism, and the method is suitable for various road condition environment scenes.

    本发明公开了一种基于三阶段注意力机制的车辆轨迹预测方法,包括:步骤S1:采集数据信息,进行数据预处理;步骤S2:根据预处理完成的数据集,进行数据集划分;步骤S3:构建车辆轨迹预测模型;步骤S4:训练车辆轨迹预测模型,采用负对数似然作为损失函数;步骤S5:保存已完成训练的数据模型,将测试集中的数据输入到已完成训练的网络模型中,预测车辆的轨迹坐标;通过在模型中引入注意力机制,自适应地选择最适合轨迹预测的信息,提升算法预测的性能;通过注意力机制得到的各种信息的权重,可知信息对算法的预测性能的影响的大小,提高算法的可解释性;根据注意力机制反映输入信息对轨迹预测算法的性能的影响,适用于多种路况环境场景。


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    Titel :

    Vehicle trajectory prediction method based on three-stage attention mechanism


    Weitere Titelangaben:

    一种基于三阶段注意力机制的车辆轨迹预测方法


    Beteiligte:
    CHEN QIHUANG (Autor:in) / XIAO ZHONGWEN (Autor:in) / ZHANG ZHEN (Autor:in) / LI BOXUAN (Autor:in) / WANG YAONONG (Autor:in)

    Erscheinungsdatum :

    2022-05-13


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06V / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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