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Advanced considerations in LiDAR technology: Application enhancement, inspection workflow implementation and data collection quality management .

机译：LiDAR技术的高级注意事项：应用程序增强，检查工作流实施和数据收集质量管理。

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摘要

Bridge inspection is a critical topic in infrastructure management and is facing unprecedented challenges as the public is concerned more about bridge safety after a series of bridge failures. LiDAR based remote sensing is recommended as a way in supplementing the prevailing visual inspection to quantify critical bridge information. In this research, focus will be placed on the advanced considerations of LiDAR technology in bridge inspection, including the application evaluation, inspection workflow implementation, and data collection quality management. Particularly, efforts on improving the computational performance of the original damage detection algorithm have been carried out and the use of reflectivity data is introduced as a new feature to enhance the algorithm`s capability in defect recognition. The specific applications that using LiDAR technology to evaluate bridge deck joint and monitoring simulated slope erosion have been studied. This research further studied the inspection workflow implementation and the sources of errors in the LiDAR bridge inspection. Quality management has also been considered to improve the bridge inspection data quality besides the development of advanced inspection technology. In the end, cost-benefit analysis is conducted to determine the savings for implementing LiDAR technology into bridge inspection workflow.
机译：桥梁检查是基础设施管理中的关键主题，并且由于公众在一系列桥梁故障后更加关注桥梁安全，因此面临前所未有的挑战。推荐使用基于LiDAR的遥感作为补充现行视觉检查以量化关键桥梁信息的一种方式。在这项研究中，重点将放在桥梁检测中LiDAR技术的高级考虑上，包括应用程序评估，检测工作流实施和数据收集质量管理。特别地，已经进行了改善原始损伤检测算法的计算性能的努力，并且引入了反射率数据的使用作为新特征，以增强算法的缺陷识别能力。研究了使用LiDAR技术评估桥面缝和监测模拟坡度侵蚀的具体应用。本研究进一步研究了LiDAR桥梁检查中检查工作流程的实现和错误源。除了先进的检测技术的发展，还考虑了质量管理来提高桥梁检测数据的质量。最后，进行成本效益分析，以确定在桥梁检测工作流程中实施LiDAR技术所节省的成本。

著录项

  • 作者

    Bian, Haitao.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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