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This chapter presents a framework for inspecting and assessing bridge structures utilizing unmanned aerial vehicles (UAVs), photogrammetry software, and artificial intelligence (AI) capabilities. The approach aims to generate precise 3D digital twins of bridges to enable accurate remote inspections and decision-making for maintenance. The framework involves collecting high-resolution image data of bridges using drones. The optimal distance between the drone and the bridge is evaluated to balance the captured details with operational safety. The images are then processed through software packages to generate 3D models. An AI algorithm was implemented to automatically detect defects like potholes and cracks in the 3D models through semantic segmentation. The measurement tools validated the accurate scaling of defect dimensions. This innovative app roach enables swift, safe, and thorough remote bridge inspections using devices connected to a main server. The generated 3D models with AI-detected defects provide comprehensive multi-dimensional visualization to inform maintenance decisions, transforming conventional practices.

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An Unmanned Aerial Vehicle-Based Digital Twin Framework for Inspection and Assessment of Bridge Structures

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Ibrahim Odeh,
  • Behrouz Shafei

摘要

This chapter presents a framework for inspecting and assessing bridge structures utilizing unmanned aerial vehicles (UAVs), photogrammetry software, and artificial intelligence (AI) capabilities. The approach aims to generate precise 3D digital twins of bridges to enable accurate remote inspections and decision-making for maintenance. The framework involves collecting high-resolution image data of bridges using drones. The optimal distance between the drone and the bridge is evaluated to balance the captured details with operational safety. The images are then processed through software packages to generate 3D models. An AI algorithm was implemented to automatically detect defects like potholes and cracks in the 3D models through semantic segmentation. The measurement tools validated the accurate scaling of defect dimensions. This innovative app roach enables swift, safe, and thorough remote bridge inspections using devices connected to a main server. The generated 3D models with AI-detected defects provide comprehensive multi-dimensional visualization to inform maintenance decisions, transforming conventional practices.