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The displacement estimation error back-propagation (DEEP) method for a multiple structural displacement monitoring system

机译:多结构位移监测系统的位移估计误差反向传播(DEEP)方法

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摘要

Visually servoed paired structured light system (ViSP) has been found to be useful in estimating 6-DOF relative displacement. The system is composed of two screens facing each other, each with one or two lasers, a 2-DOF manipulator and a camera. The displacement between two sides is estimated by observing position of the projected laser beams and rotation angles of the manipulators. To apply the system to massive structures, the whole area should be partitioned and each ViSP module is placed in each partition in a cascaded manner. The estimated displacement between adjoining ViSPs is combined with the next partition so that the entire movement of the structure can be estimated. The multiple ViSPs, however, have a major problem that the error is propagated through the partitions. Therefore, a displacement estimation error back-propagation (DEEP) method which uses Newton-Raphson or gradient descent formulation inspired by the error back-propagation algorithm is proposed. In this method, the estimated displacement from the ViSP is updated using the error back-propagated from a fixed position. To validate the performance of the proposed method, various simulations and experiments have been performed. The results show that the proposed method significantly reduces the propagation error throughout the multiple modules.
机译:已经发现视觉伺服成对结构光系统(ViSP)可用于估计6自由度相对位移。该系统由彼此相对的两个屏幕组成,每个屏幕带有一个或两个激光器,一个2-DOF机械手和一个摄像头。通过观察投射的激光束的位置和操纵器的旋转角度来估计两侧之间的位移。要将系统应用于大型结构,应对整个区域进行分区,并将每个ViSP模块以级联方式放置在每个分区中。相邻ViSP之间的估计位移与下一个分区组合在一起,因此可以估计结构的整个运动。但是,多个ViSP的主要问题是该错误会通过分区传播。因此,提出了一种基于误差反向传播算法启发的位移估计误差反向传播(DEEP)方法,该方法采用牛顿-拉夫森(Newton-Raphson)或梯度下降公式。在这种方法中,使用从固定位置反向传播的误差更新来自ViSP的估计位移。为了验证所提出方法的性能,已进行了各种模拟和实验。结果表明,所提出的方法显着降低了整个多个模块的传播误差。

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