Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater

Jesus Balado Frias, A. Sánchez-Rodríguez
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引用次数: 2

Abstract

The digitisation of heritage is being rapidly realised in many parts of the world thanks to LiDAR technology. In addition to the simple digital preservation of heritage, 3D acquisition makes it possible to monitor the structural condition and assess possible damage. This paper presents a method for modelling the lost volume of a heritage bridge. The selected case study is the Fillaboa bridge, in Salvaterra de Miño, Spain, which has two cutwaters with the same cutting angle, one of which is damaged and has a stone loss. The bridge was acquired with a Terrestrial Laser Scanner. The method consists of the following processes. First, the walls of the whole cutwater are segmented and aligned by Iterative Closest Point algorithm over the damaged cutwater. Second, the distance between the two point clouds is calculated and the damaged area is delimited in both point clouds. And third, the alpha shape algorithm is applied to model the point cloud of the damaged area to a polygon. By searching for the optimal alpha radius, the polygon that best fits the damaged volume is generated. The proposed method also allows digital reconstruction of the damaged area, although it is sensitive to acquisition problems, which require manual interventions in the processing. The accuracy of the method is mainly dependent on the acquired point cloud registration (with an RMS error of 60mm) and the ICP registration error (31mm). Its use is limited to the existence of two geometries that allow superposition: one in good condition and one damaged to compare.
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点云方法模拟菲拉博大桥切水的损失体积
由于激光雷达技术,世界上许多地方正在迅速实现遗产的数字化。除了简单的数字遗产保存,3D采集使得监测结构状况和评估可能的损害成为可能。本文提出了一种对传统桥梁损失体积进行建模的方法。选定的案例研究是位于西班牙Salvaterra de Miño的Fillaboa桥,它有两个切割角度相同的切线,其中一个被损坏并有石头损失。桥是用地面激光扫描仪拍摄的。该方法包括以下过程。首先,利用迭代最近点算法在受损切割水上对整个切割水壁进行分割和对齐;其次,计算两个点云之间的距离,并在两个点云中划分损坏区域;第三,采用alpha形状算法对损伤区域的点云进行多边形建模。通过搜索最优alpha半径,生成最适合受损体积的多边形。提出的方法也允许对受损区域进行数字重建,尽管它对采集问题很敏感,这需要人工干预处理。该方法的精度主要取决于获取的点云配准(均方根误差为60mm)和ICP配准误差(31mm)。它的使用仅限于存在两个允许叠加的几何形状:一个处于良好状态,另一个损坏以进行比较。
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