Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance
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.
A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance
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.
A Review of the Application of CNN-Based Computer Vision in Civil Infrastructure Maintenance
Lu, Xinhai (Herausgeber:in) / Zhang, Zuo (Herausgeber:in) / Lu, Weisheng (Herausgeber:in) / Peng, Yi (Herausgeber:in) / Cai, Ruying (Autor:in) / Li, Jingru (Autor:in) / Li, Geng (Autor:in) / Tang, Dongdong (Autor:in) / Tan, Yi (Autor:in)
International Symposium on Advancement of Construction Management and Real Estate ; 2020 ; Wuhan, China
12.10.2021
17 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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