在KLATEN制作巴亚特高速公路的3D模型,以使用飞行照片方法进行维护

Dwiki Altito Priambodo, Martinus Edwin Tjahjadi, Ketut Tomy Suhari
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引用次数: 0

摘要

利用大地测量学和地理信息技术,即航空摄影测量技术,利用无人机(UAV)来实现当前的道路状况。为了找到答案,我们做了一个道路三维模型,这就是目前的道路信息。该技术用于在制造三维模型中获取数据。采用巷道细节水平(LoD)0-3法进行建模,并进行计算巷道几何图形验证试验,即巷道宽度包括计算均方根误差(RMSE)和标准差。本研究获得了巷道三维可视化模型,其RMSE为0.0455141 m(带照片的现场)、0.155467038 m(带模型的现场),标准差为0.078829245 m(带照片的现场)、0.310609926 m(带模型的现场)。利用LoD 0-3方法实现了巷道三维模型的可视化。航拍照片的能力只能识别道路上的物体,在制造道路三维模型。对巷道模型的三维模型进行验证,以确定其与实际模型的接近程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PEMBUATAN MODEL 3D JALAN RAYA BAYAT UNTUK KEPERLUAN EXISTING MENGGUNAKAN METODE FOTO UDARA (UAV) DI KLATEN
The use of technology in geodesy and geomatics, that’s aerial photogrammetry technology using an unmanned aerial vehicle (UAV) useful to realize the current roadway condition. To find out, making a roadway 3-dimensional model is done, so that’s the current of roadway information. That technology is used to obtain data in the manufacturing 3-dimensional model. The modeling was performed using the level of detail (LoD)0-3 method of the roadway and performed the calculation roadway geometrics validation test, that’s the width of roadway including the calculation of root mean square error (RMSE) and standard deviation. This study obtained a visualization of roadway 3-dimensional model, the with RMSE 0.0455141 meters (field with photos), 0.155467038 meters (field with model), and standard deviation 0.078829245 meters (field with photos), 0.310609926 meters (field with model). The visualization of roadway 3-dimensional model with the level of detail (LoD)0-3 method already implemented. The ability of aerial photos to only identification of roadway objects in the manufacture of roadway 3-dimensional model. The 3-dimensional models of the roadway model are validated to determine its proximity to the actual model.
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