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2025 | OriginalPaper | Chapter

Machine Vision Approach of Bridges Crack Identification Based on the Fusion of UAV Vision and LiDAR

Authors : Zhu Runqiu, Lai Tinglin, Weixing Hong, Ahmed Silik, Mohammad Noori, Wael A. Altabey

Published in: Proceedings of the 4th International Civil Engineering and Architecture Conference

Publisher: Springer Nature Singapore

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Abstract

The application of machine vision algorithms in 3D bridges imaging and bridges inspection based on the fusion of UAV vision and LiDAR has a history of several years. Nonetheless, there is still lack of system research articles about this technology, especially for deep learning models developed to solve these problems. This article first introduces a comparison between the bridges crack detection system for classic 2D by using UAV camera images collection only and 3D by fusion between imaging information of the UAV camera technique and LiDAR technique for one crack in common that is, the original information detected by these two technologies is the scattering point information of the target. Subsequently, a convolutional neural network (CNN) is used for UAV and LiDAR imaging information feature fusion, which enhances the ability to extract damage features of bridge structures, and uses data fusion application to fusion a LiDAR and UAV detection scatter points for cracks, which improves the accuracy of bridge structure damage target detection in the real-time. The author believes that this study can provide practical guidance for the development of the next generation bridges condition evaluation system.

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Guo D, Weixing H, Altabey WA (2023) Pavement pothole monitoring via computer vision technology. In: 2023 IEEE international smart cities conference (ISC2 2023). University POLITEHNICA of Bucharest, Romania. https://doi.org/10.1109/ISC257844.2023.10293626

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Liping Z, Hong W, Altabey WA (2024) Bridges damage assessment techniques improvement through machine learning algorithm. Lect Notes Civil Eng 336:82–92. https://doi.org/10.1007/978-981-99-5716-3_6CrossRef

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Silik A, Hong W, Li J, Mao M, Noori M, Altabey WA (2023) Develop a health monitoring technique for analysis a big data of bridges. Lect Notes Civil Eng 292:59–78. https://doi.org/10.1007/978-981-19-5783-3_5CrossRef

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Silik A, Noori M, Altabey WA, Ji D, Ghiasi R (2022) A new denoising technique via wavelet analysis of structural vibration response for structural health monitoring applications. In: Lifeline 2022: advancing lifeline engineering for community resilience, ASCE library, pp 691–706. https://doi.org/10.1061/9780784484449.063

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Altabey WA, Noori M, Wu Z, Silik A, Farhan NSD (2023) Effective technique for structures damage detection based on the structural frequency maps. In: 5th ECCOMAS thematic conference on uncertainty quantification in computational sciences and engineering (UNCECOMP 2023). Athens, Greece

13.

Altabey WA, Noori M, Wu Z (2023) Deep learning-based crack, location and area identification for a pipeline by the convolutional neural network based on crack contour network method. In: 5th ECCOMAS thematic conference on uncertainty quantification in computational sciences and engineering (UNCECOMP 2023). Athens, Greece

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Altabey WA, Kouritem SA, Al-Moghazy MA (2024) Apply frequency response function schemes for damage detection in composite nanoscale-pipes under transient conditions. Nano-Struct Nano-Objects 39:101259. https://doi.org/10.1016/j.nanoso.2024.101259

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Altabey WA, Kouritem SA, Al-Moghazy MA (2023) A new diagnostic system for damage monitoring of BFRP plates, e-Prime—advances in electrical engineering. Electron Energy 5:100258. https://doi.org/10.1016/j.prime.2023.100258CrossRef

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Altabey WA, Noori M (2023) A dynamic analysis of smart and nanomaterials for new approaches to structural control and health monitoring. Materials 16(9):3567. https://doi.org/10.3390/ma16093567CrossRef

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Altabey WA, Noori M (2024) Mathematical modeling of BFRP laminated composite double-chamber mufflers based acoustic transmission loss optimization. In: Lecture notes in civil engineering. Springer, Cham, Switzerland, p 486. https://doi.org/10.1007/978-3-031-57224-1_6

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Altabey WA (2020) An exact solution for acoustic simulation based transmission loss optimization of double-chamber silencer. Sound Vibr 54(4):215–224. https://doi.org/10.32604/SV.2020.011516

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Altabey WA, Kouritem SA, Abouheaf MI, Nahas N (2022) Research in image processing for pipeline crack detection applications. In: IEEE conference, 2nd international conference on electrical, computer, communications and mechatronics engineering (ICECCME-2022). Maldives. https://doi.org/10.1109/ICECCME55909.2022.9988417

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Hong W, Li H, Xu Y, Zhang C, Li J, Noori M, Altabey WA (2023) Damage identification in bridges based on WPECD transform. In: 22nd international scientific conference engineering for rural development, ERD 2023 Jelgava, vol 22, pp 1039–1044, 191585. https://doi.org/10.22616/ERDev.2023.22.TF211

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Altabey WA, Kouritem SA, Abouheaf MI, Nahas N (2022) A deep learning-based approach for pipeline cracks monitoring. In: IEEE conference, 2nd international conference on electrical, computer, communications and mechatronics engineering (ICECCME-2022). Maldives. https://doi.org/10.1109/ICECCME55909.2022.9987998

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Hong W, Noori M, Jiang H, Liu Y, Altabey WA (2023) Machine vision-based structural diagnosis application. Lect Notes Civil Eng 292:79–88. https://doi.org/10.1007/978-981-19-5783-3_6CrossRef

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Silik A, Noori M, Ghiasi R, Wang T, Kuok S, Farhan NSD, Dang J, Wu Z, Altabey WA (2023) Dynamic wavelet neural network model for damage features extraction and patterns recognition. Civil Struct Health Monit. https://doi.org/10.1007/s13349-023-00683-8CrossRef

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Wang T, Li H, Noori M, Ghiasi R, Kuok S, Altabey WA (2023) Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Eng Struct 279:115576. https://doi.org/10.1016/j.engstruct.2022.115576CrossRef

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Moghadam KY, Noori M, Silik A, Altabey WA (2024) Damage detection in structures by using imbalanced classification algorithms. Mathematics 12(3):432. https://doi.org/10.3390/math12030432

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Altabey WA, Noori M (2022) Artificial-intelligence-based methods for structural health monitoring. Appl Sci 12(24):12726. https://doi.org/10.3390/app122412726CrossRef

Title: Machine Vision Approach of Bridges Crack Identification Based on the Fusion of UAV Vision and LiDAR
Authors: Zhu Runqiu
Lai Tinglin
Weixing Hong
Ahmed Silik
Mohammad Noori
Wael A. Altabey
Publisher: Springer Nature Singapore
Book: Proceedings of the 4th International Civil Engineering and Architecture Conference
Print ISBN: 978-981-9754-76-2

Electronic ISBN: 978-981-9754-77-9

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-981-97-5477-9_4

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