Improving the Measurement Accuracy of the Static IR Triangulation System Through Apparent Beacon Position Estimation

A. Wolniakowski, M. Ciȩżkowski
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引用次数: 2

Abstract

The ever more dynamic development of autonomous systems in many areas of industry cause the precise indoor navigation to be an important issue. Unfortunately, the influence of walls and other obstacles that interfere with the measurement signals make the indoor navigation systems less accurate - such disturbances introduce so-called signal multipathing. Multipathing is often reduced by creating error maps, which is a labor-intensive task. Another problem in navigation is the precise determination of the position of the navigation reference points called beacons. In this paper, we present an ABPE method (Apparent Beacon Position Estimation) to improve the accuracy of the indoor triangulation positioning system by estimating the apparent beacons positions that does not require a-priori knowledge of beacon positions. The proposed method has been verified experimentally and additionally it has been compared with the methods based on mapping using a second order polynomial.
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利用视信标位置估计提高静态红外三角测量系统的测量精度
随着自动驾驶系统在许多工业领域的不断发展,精确的室内导航成为一个重要问题。不幸的是,墙壁和其他障碍物的影响会干扰测量信号,使室内导航系统的精度降低——这种干扰引入了所谓的信号多路径。通常通过创建错误映射来减少多路径,这是一项劳动密集型任务。导航中的另一个问题是精确确定被称为信标的导航参考点的位置。在本文中,我们提出了一种ABPE(视信标位置估计)方法,通过估计视信标位置来提高室内三角定位系统的精度,而不需要先验的信标位置知识。实验验证了该方法的有效性,并与基于二阶多项式映射的方法进行了比较。
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