Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

一篇关于利用相机和无人机对民用基础设施进行非接触评估的综述，融合了计算机视觉、机器学习和结构工程。文章将该领域分为巡检（构件识别、局部和整体损伤、相对于基准的变化检测）和监测（静态应变和位移、用于模态分析的动态位移）。它将目标界定为自动把原始影像转化为可据以行动的信息，并列出了实现完全自动化仍面临的障碍。

主要发现

• Inspection methods grouped into component recognition, damage characterization, and change detection
• Monitoring methods grouped into static strain/displacement and dynamic displacement for modal analysis
• Concludes that fully automated vision-based inspection still faces several open challenges

局限

• Only the abstract was read here; the publisher page could not be fetched
• Review of vision methods; flight operations and regulation are not its focus