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Erschienen in:
Methods for Improving the Microstructure of Recycled Concrete Aggregate: A Review Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance

verfasst von : Ruying Cai, Jingru Li, Geng Li, Dongdong Tang, Yi Tan

Erschienen in: Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Verlag: Springer Singapore

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Abstract

Computer-vision and deep-learning techniques are being increasingly applied to the maintenance of civil infrastructure, such as inspecting, monitoring, and assessing infrastructure conditions, which overcome time-consuming and laborious compared with traditional technology. In this paper, the research progress of deep learning, the developments of convolutional neural network (CNN)-based computer vision in improving accuracy, reliability and generalized object detection capability and its application in civil infrastructure maintenance are reviewed. The main objectives are as follows: (1) clarify the application of deep learning in computer vision to help researchers systematically understand deep learning; (2) review the application of computer vision in civil infrastructure maintenance to help researchers pay more attention to its advantages; (3) encourage relevant personnel to use this research as a reference, take deep learning as an important method at the forefront of engineering management, generate more innovations in the construction field, and promote the development of the construction industry.

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Vorheriges Kapitel Automated Evaluation of Indoor Dimensional Tolerance Compliance Using the TLS Data and BIM
Nächstes Kapitel The Uses of Social Network Analysis in the Field of Engineering Construction Management: A Review of the Literature
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Metadaten
Titel
A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance
verfasst von
Ruying Cai
Jingru Li
Geng Li
Dongdong Tang
Yi Tan
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-16-3586-1

Electronic ISBN: 978-981-16-3587-8

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-16-3587-8_42