The invention relates to an unmanned aerial vehicle aerial video-based traffic flow energy state automatic identification method. The method comprises: acquiring an unmanned aerial vehicle aerial image; converting the aerial image of the unmanned aerial vehicle into actual trajectory data by using an image mapping and coordinate conversion method; based on the actual trajectory data and pre-divided field source levels, respectively acquiring continuous energy field intensity and discrete energy field intensity corresponding to each level; and based on the continuous energy field intensity and the discrete energy field intensity corresponding to each level, according to an electromagnetic field theory and an artificial potential field theory, utilizing a pre-constructed comprehensive field intensity calculation model to obtain the environmental influence of the target vehicle, and further obtaining a corresponding traffic flow energy state. Compared with the prior art, the method has the advantages of effectively improving the accuracy of automatic identification of the energy state of the vehicle traffic flow in the interlaced section and the like.
本发明涉及一种基于无人机航拍视频的交通流能量状态自动识别方法。该方法获取无人机航拍图像;利用图像映射与坐标转换方法将无人机航拍图像转换为实际轨迹数据;基于实际轨迹数据与预先划分好的场源层级,分别获取每个层级相应的连续型能量场强和离散型能量场强;基于每个层级相应的连续型能量场强和离散型能量场强,根据电磁场理论和人工势场理论,利用预先构建的综合场强计算模型获取目标车辆的环境影响力,进而得到相应的交通流能量状态。与现有技术相比,本发明具有有效提高交织段车辆交通流能量状态自动识别的准确性等优点。
Traffic flow energy state automatic identification method based on unmanned aerial vehicle aerial video
一种基于无人机航拍视频的交通流能量状态自动识别方法
2024-10-25
Patent
Electronic Resource
Chinese
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