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

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

Author

Listed:
  • Ruying Cai

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University)

  • Jingru Li

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University)

  • Geng Li

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University)

  • Dongdong Tang

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University)

  • Yi Tan

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University)

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.

Suggested Citation

  • Ruying Cai & Jingru Li & Geng Li & Dongdong Tang & Yi Tan, 2021. "A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance," Springer Books, in: Xinhai Lu & Zuo Zhang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, pages 643-659, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-3587-8_42
    DOI: 10.1007/978-981-16-3587-8_42
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