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。
Multi-source traffic monitoring sensor data calibration method and system
一种多源交通监测传感器数据校准方法、系统
24.01.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Multi-source data fusion intelligent network connection traffic state monitoring method and system
Europäisches Patentamt | 2025
|Traffic road congestion monitoring system and method based on multi-source data analysis
Europäisches Patentamt | 2024
|Intelligent traffic decision-making method based on multi-source sensor data
Europäisches Patentamt | 2025
|Multi-source traffic operation data analysis method and system based on AI sensor fusion
Europäisches Patentamt | 2025
|Real-Time Multi-Sensor Multi-Source Network Data Fusion Using Dynamic Traffic Assignment Models
DSpace@MIT | 2009
|