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Method and device for generating traffic data from digital aerial image sequences

机译:根据数字航空影像序列生成交通数据的方法和装置

摘要

the invention concerns a method and a device for collecting data from digital luftbildsequenzen.the erfindungsgemu00e4u00dfe procedures for the determination of traffic data from a sequence of partly overlapping, georeferenced digital aerial images (101, 104) in which vehicles usable routes of verkehrswegenetzes depicted, and to identify the traffic data in de r sequence of digital aerial photographs and a fahrzeugerkennung fahrzeugtracking isis that the fahrzeugerkennung only image data of first digital aerial photograph (101) of the sequence by means of a first and a second klassifikators takes place, while using the first klassifikators in the image data on the basis of potential fahrzeugobjekte trained shape and structural features to be determined, those image data.the potential fahrzeugobjekte represent segmented image data are segmented in order to receive, and through the second klassifikators in the segmented image data of the vehicles using trained color and shape and structural characteristics are determined.this procedure achieved a quality of the data, depending on the quality and resolution of the digital aerial photographs of up to 80%.the quality of the data not only allows a reliable representation of the traffic from luftgestu00fctzter automatic verkehrserfassung but also reliable forecasts on the development of traffic through simulations, with the data of the current traffic loading ized.
机译:本发明涉及一种用于从数字航空器收集数据的方法和装置。erfindungsgem u00e4 u00dfe程序,用于从一系列部分重叠的,地理参考的数字航空图像(101、104)中确定交通数据,其中车辆可使用以下路线描绘并确认数字航空照片和fahrzeugerkennung序列中的交通数据fahrzeugerkennung isis认为,通过第一和第二个分类器,该序列的第一幅数字航空照片(101)的唯一图像数据发生了,同时在要确定潜在的fahrzeugobjekte训练形状和结构特征的基础上使用图像中的第一个分类器,对这些图像数据进行细分,以便通过第二个分类器接收并分割图像数据。使用经过训练的颜色,形状和结构对车辆的图像数据进行分割确定视频的特征。此过程达到了数据质量,这取决于高达80%的数字航拍照片的质量和分辨率。数据质量不仅可以可靠地表示来自自动不仅如此,还可以通过模拟对流量的发展进行可靠的预测,并获得当前流量负载的数据。

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