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Fast and Robust Structural Damage Analysis of Civil Infrastructure Using UAV Imagery

  • 2022
  • OriginalPaper
  • Chapter
Published in:
Author
Alon Oring
Published in
Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures
Publisher
Springer International Publishing

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Abstract

The chapter discusses the challenges of maintaining civil infrastructure, particularly bridges, and the role of UAVs in efficient and safe inspections. It introduces an innovative end-to-end method for automated structural damage analysis using UAV imagery, focusing on direct defect matching without the need for 3D reconstruction. This approach addresses the limitations of existing methods, such as the inconsistencies and high data redundancy in object detection results. The proposed method combines object detection algorithms with content-based image retrieval and feature matching to accurately identify and match defects across multiple images. The chapter highlights the effectiveness of this method in both drone and non-UAV imagery, demonstrating its potential to revolutionize the field of structural health monitoring.
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previous chapter Application of Different Methods for Determination of DAF from Moving Loads on Roadway Reinforced Concrete Bridges
next chapter Dynamic Response of Poles Built on Railway Bridges Under High-Speed Train Passages
Title
Fast and Robust Structural Damage Analysis of Civil Infrastructure Using UAV Imagery
Author
Alon Oring
Copyright Year
2022
Book
Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

Print ISBN: 978-3-030-91876-7

Electronic ISBN: 978-3-030-91877-4

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-91877-4_142
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