The invention overcomes the problems that the accuracy and stability of a vehicle track prediction method in the prior art are insufficient and the detection of the lane changing behavior of the vehicle cannot be met, and provides the expressway truck intrusion detection method based on the Raysight track fusion, and the detection accuracy of the expressway truck intrusion detection is improved by using detection equipment such as radar equipment and video equipment installed on the expressway. Traffic data information of vehicles on an expressway region section is collected, track point data of the vehicles on the region section are recognized, track splicing is carried out on the track point data to form a track section, and track fusion and matching are carried out on data collected by radar equipment and video equipment; the method comprises the following steps: performing vehicle trajectory prediction on data of a missing time period, combining real-time data and prediction data to obtain a vehicle holographic trajectory of an expressway region road section, and performing identification detection on a truck intruding behavior through expressway early warning service, so that the vehicle trajectory accuracy and stability are improved, and the accuracy and the reliability of the expressway region road section are improved. And detection and early warning of truck intrusion behaviors are facilitated.
本发明克服了现有技术中车辆轨迹预测方法的准确性和稳定性不足,无法满足检测车辆换道行为的问题,提供了一种基于雷视轨迹融合的快速路货车闯入检测方法,通过利用快速路上安装的雷达设备和视频设备等检测设备,采集快速路区域段上车辆的交通数据信息,识别该区域路段车辆的轨迹点数据,将这些轨迹点数据进行轨迹拼接形成轨迹段,对雷达设备和视频设备采集的数据进行轨迹融合和匹配;对缺失时段的数据进行车辆轨迹预测,结合实时数据和预测数据,从而得到该快速路区域路段的车辆全息轨迹,通过快速路预警业务,对货车闯入的行为进行识别检测,使得车辆轨迹精确度和稳定性得到提高,有利于货车闯入行为的检测和预警。
Expressway truck intrusion detection method based on thundersight trajectory fusion
一种基于雷视轨迹融合的快速路货车闯入检测方法
15.03.2024
Patent
Elektronische Ressource
Chinesisch
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