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桥梁监测中不同等级移动激光雷达系统的处理策略与性能比较：案例研究

Processing Strategy and Comparative Performance of Different Mobile LiDAR System Grades for Bridge Monitoring: A Case Study.

作者信息

Lin Yi-Chun, Liu Jidong, Cheng Yi-Ting, Hasheminasab Seyyed Meghdad, Wells Timothy, Bullock Darcy, Habib Ayman

机构信息

Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA.

Indiana Department of Transportation Research and Development, West Lafayette, IN 47907, USA.

出版信息

Sensors (Basel). 2021 Nov 13;21(22):7550. doi: 10.3390/s21227550.

DOI:10.3390/s21227550
PMID:34833625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8622465/
Abstract

Collecting precise as-built data is essential for tracking construction progress. Three-dimensional models generated from such data capture the as-is conditions of the structures, providing valuable information for monitoring existing infrastructure over time. As-built data can be acquired using a wide range of remote sensing technologies, among which mobile LiDAR is gaining increasing attention due to its ability to collect high-resolution data over a relatively large area in a short time. The quality of mobile LiDAR data depends not only on the grade of onboard LiDAR scanners but also on the accuracy of direct georeferencing information and system calibration. Consequently, millimeter-level accuracy is difficult to achieve. In this study, the performance of mapping-grade and surveying-grade mobile LiDAR systems for bridge monitoring is evaluated against static laser scanners. Field surveys were conducted over a concrete bridge where grinding was required to achieve desired smoothness. A semi-automated, feature-based fine registration strategy is proposed to compensate for the impact of georeferencing and system calibration errors on mobile LiDAR data. Bridge deck thickness is evaluated using surface segments to minimize the impact of inherent noise in the point cloud. The results show that the two grades of mobile LiDAR delivered thickness estimates that are in agreement with those derived from static laser scanning in the 1 cm range. The mobile LiDAR data acquisition took roughly five minutes without having a significant impact on traffic, while the static laser scanning required more than three hours.

摘要

收集精确的竣工数据对于跟踪施工进度至关重要。从这些数据生成的三维模型捕捉了结构的现状，为长期监测现有基础设施提供了有价值的信息。竣工数据可以使用多种遥感技术获取，其中移动激光雷达因其能够在短时间内在相对较大的区域收集高分辨率数据而受到越来越多的关注。移动激光雷达数据的质量不仅取决于车载激光雷达扫描仪的等级，还取决于直接地理参考信息和系统校准的准确性。因此，很难实现毫米级的精度。在本研究中，针对桥梁监测，将测绘级和测量级移动激光雷达系统的性能与静态激光扫描仪进行了评估。在一座需要打磨以达到所需平整度的混凝土桥上进行了实地调查。提出了一种基于特征的半自动精细配准策略，以补偿地理参考和系统校准误差对移动激光雷达数据的影响。使用表面段评估桥面厚度，以尽量减少点云中固有噪声的影响。结果表明，这两个等级的移动激光雷达给出的厚度估计值与静态激光扫描得出的厚度估计值在1厘米范围内一致。移动激光雷达数据采集大约需要五分钟，对交通没有显著影响，而静态激光扫描则需要三个多小时。

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