Evaluating the Accuracy of Determining Coordinates of a Corner of a Building Measured in the RTN GNSS Mode, Having Applied the Innovative Algorithm of Vector Translation
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引用次数: 3
Abstract
Abstract The study evaluates the accuracy of determining coordinates of a corner of a building measured in the RTN GNSS mode (Real Time Network Global Navigation Satellite System) using the method of line-line intersection and having applied the algorithm of vector translation, developed by the author. The performed analysis of accuracy proved a high precision in determining the points subjected to studies. An important factor in the formation of a mean error regarding the position of the corner of a building, having used the algorithm of vector translation, is the assumption of correctness of the reference points, i.e. the so-called base points, determined in the RTN GNSS mode. In this case, the base points take the role of measurement control points. The mean error of the position of the corner of a building, taking into account the innovative solution, is at the level of several centimeters. The study results presented in the article allow to positively evaluate the algorithm of vector translation in terms of accuracy of determining the position of a corner of a building, measured in real time.
摘要:本研究对RTN GNSS模式(Real Time Network Global Navigation Satellite System,实时网络全球导航卫星系统)下,采用线-线交点法,采用作者自行开发的矢量平移算法,对建筑物一角坐标的确定精度进行了评价。所进行的精度分析证明,在确定研究点时具有很高的精度。在使用矢量平移算法后,形成建筑物拐角位置平均误差的一个重要因素是假设RTN GNSS模式中确定的参考点(即所谓的基点)的正确性。在这种情况下,基点充当测量控制点的角色。考虑到创新的解决方案,建筑物角落位置的平均误差在几厘米的水平。本文提出的研究结果可以从实时测量的确定建筑物角落位置的准确性方面对矢量平移算法进行正面评价。