期刊
INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION
卷 -, 期 -, 页码 -出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/23248378.2022.2140713
关键词
UAV; railway line; photogrammetry; extraction; point cloud
Technical diagnostics allows for the assessment and prediction of the technical condition of a railway line and its infrastructure, including the periodic monitoring of rail position and geometry. This article presents a new framework for setting out a railway track axis using point cloud data from photogrammetry collected by a small unmanned aerial vehicle (UAV). The accuracy achieved in the horizontal plane is 1.6 cm, making it suitable for technical track monitoring, geoinformation, and cartographic work.
Technical diagnostics enables assessing the current technical condition of a railway line and adjacent infrastructure, and forecasting its changes over a specific time horizon. One of its elements is the periodic monitoring of rail position and their geometry. This article presents a new framework for the setting-out of a railway track axis. The process presented in the manuscript is based on the specific filtration and extraction of rails from a point cloud originating from the photogrammetric process. Data was acquired using a small unmanned aerial vehicle (UAV). A railway track axis setting-out using the process described herein was related to dynamic satellite track measurement. An average accuracy achieved in the horizontal plane is 1.6 cm which corresponds to the accuracy of the source photogrammetric product. The achieved accuracy enables using this method to be suitable for technical track monitoring, geoinformation, and cartographic work.
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