The invention relates to the technical field of monitoring, in particular to a multi-source traffic monitoring sensor data calibration method and system. The method comprises the following steps of: recording vehicle track data uploaded by each sensor into a file, calculating a traffic flow context feature vector of each target, matching the targets between adjacent sensors based on the feature vectors, obtaining a large amount of labeled data based on the time and coordinate information of the matched targets, and carrying out real-time labeling on the labeled data. And training in the annotation data to obtain a relative coordinate correction amount between the two sensors. According to the method, the sensor data can be rapidly and automatically processed, a large number of training samples are obtained, the calibration precision is improved, and good practicability and convenience are achieved.

    本发明涉及监控技术领域,具体涉及一种多源交通监测传感器数据校准方法、系统。方法首先将各传感器上传的车辆轨迹数据记录到文件,然后计算每个目标的车流上下文特征向量,基于特征向量对相临传感器间的目标进行匹配,基于匹配目标的时间和坐标信息可得到大量已标注数据,标注数据中训练得到两个传感器间的相对坐标矫正量。本方法可以快速自动地处理传感器数据,得到大量训练样本,提高校准精度,具有较好的实用性和便捷性。


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    Titel :

    Multi-source traffic monitoring sensor data calibration method and system


    Weitere Titelangaben:

    一种多源交通监测传感器数据校准方法、系统


    Beteiligte:
    CHEN QIANG (Autor:in) / CEN ZONGJUN (Autor:in) / WANG NINGCHANG (Autor:in) / CHEN KEYAN (Autor:in) / WANG LINGRONG (Autor:in) / MA HUAJIE (Autor:in) / LONG SIYING (Autor:in) / XIA GUANGLIANG (Autor:in)

    Erscheinungsdatum :

    24.01.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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