The invention discloses a multi-modal data fusion method based on big data governance, and the method is realized based on a big data governance platform, and specifically comprises the following steps: S1, obtaining sharable data of all traffic subjects, carrying out the unified management and scheduling of the sharable data, and generating multi-modal traffic data; s2, performing data annotation on the multi-modal traffic data, and extracting a feature vector according to the data annotation; and S3, carrying out integration processing on the feature vectors to generate feature representations, and then carrying out data fusion on the feature representations based on a deep learning algorithm.

    本发明公开了一种基于大数据治理的多模态数据融合方法,该方法基于大数据治理平台实现,具体包括以下步骤:S1、获取各交通主体的可共享数据,并对所述可共享数据进行统一管理和调度,生成多模态交通数据;S2、对所述多模态交通数据进行数据标注,并根据数据标注提取特征向量;S3、将所述特征向量进行集成处理,生成特征表示,然后基于深度学习算法对所述特征表示进行数据融合。


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    Title :

    Multi-modal data fusion method based on big data governance


    Additional title:

    一种基于大数据治理的多模态数据融合方法


    Contributors:
    CHEN SI'EN (author) / WU YANQUAN (author) / YANG JIAHUI (author)

    Publication date :

    2024-02-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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