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模板引导的分层多视图注册框架无序桥的地面激光扫描数据数据

Guikai Xiong^1,2,3,4, Na Cui^1,2, Jiepeng Liu^1,2

¹Key Laboratory of New Technology for Construction of Cities in Mountain Area (Ministry of Education), Chongqing University, Chongqing 400045, China.

Sensors (Basel, Switzerland)

|March 13, 2024

概括

本研究引入了一种新的模板导向方法,用于高效的桥点云数据 (PCD) 多视图注册. 该方法准确地将无序扫描与全球系统对齐,改进了桥梁建模和健康监测.

科学领域:

地理学工程工程地质学
土木工程土木工程是指土木工程.
计算机视觉计算机视觉

背景情况:

桥点云数据 (PCD) 登记对于建模,变形检测和健康监测至关重要.
现有的多视图注册方法由于广泛的对照和图形构造而低效.
需要改进的方法来有效处理无序的多重扫描.

研究的目的:

提出一种无标记,以模板为指导的方法,将多个无序的桥梁PCD与全球坐标系统对齐.
为了提高多视图桥梁PCD注册的效率和准确性.
为了恢复扫描重叠,并建立一个合并顺序,而不是广泛的配对匹配.

主要方法:

以模板为导向的方法将单个扫描与注册模板对齐,恢复重叠.
一个图形分区算法从重叠和扫描位置构建扫描块.
区块内的粗到细的注册和全球区块对区块的注册实现了统一的对齐.

主要成果:

提出的方法成功地将多个无序的桥梁PCD与全球坐标系统对齐.
从悬挂和连续刚性框架桥梁的数据集上证明了高准确性.
该框架有效地恢复重叠,并建立了扫描的合并顺序.

结论:

无标记模板引导方法为多视图桥梁PCD注册提供了一个高度准确和高效的解决方案.
这种方法解决了现有的对联注册技术的局限性.
该方法适用于各种桥梁类型,支持先进的结构分析和监测.

关键词:

桥点云数据数据桥点云数据层次化的多视图注册.点云注册点云注册是什么意思以模板为导向的模板为指导地上的激光扫描扫描.

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