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Pose-graph optimized displacement estimation for structural displacement monitoring

机译:姿态图优化位移估计,用于结构位移监测

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摘要

A visually servoed paired structured light system (ViSP) was recently proposed as a novel estimation method of the 6-DOF (Degree-Of-Freedom) relative displacement in civil structures. In order to apply the ViSP to massive structures, multiple ViSP modules should be installed in a cascaded manner. In this configuration, the estimation errors are propagated through the ViSP modules. In order to resolve this problem, a displacement estimation error back-propagation (DEEP) method was proposed. However, the DEEP method has some disadvantages: the displacement range of each ViSP module must be constrained and displacement errors are corrected sequentially, and thus the entire estimation errors are not considered concurrently. To address this problem, a pose-graph optimized displacement estimation (PODE) method is proposed in this paper. The PODE method is based on a graph-based optimization technique that considers entire errors at the same time. Moreover, this method does not require any constraints on the movement of the ViSP modules. Simulations and experiments are conducted to validate the performance of the proposed method. The results show that the PODE method reduces the propagation errors in comparison with a previous work.
机译:最近提出了一种视觉伺服成对结构光系统(ViSP),作为民用建筑中6自由度相对自由度的一种新型估计方法。为了将ViSP应用于大型结构,应以级联方式安装多个ViSP模块。在这种配置中,估计误差会通过ViSP模块传播。为了解决这个问题,提出了位移估计误差反向传播(DEEP)方法。但是,DEEP方法有一些缺点:必须限制每个ViSP模块的位移范围,并顺序校正位移误差,因此不能同时考虑整个估计误差。为了解决这个问题,本文提出了一种姿态图优化位移估计(PODE)方法。 PODE方法基于基于图的优化技术,该技术同时考虑了整个错误。而且,该方法不需要对ViSP模块的移动进行任何限制。仿真和实验进行了验证该方法的性能。结果表明,与以前的工作相比,PODE方法减少了传播误差。

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