A novel automated crack identification method for concrete bridge structure using an unmanned aerial vehicle
Auteur(s): |
Chung T. Truong
My Q. Dang Tung P. Pham Phong V. Do Huy Q. Tran |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | IOP Conference Series: Materials Science and Engineering, 1 août 2023, n. 1, v. 1289 |
Page(s): | 012037 |
DOI: | 10.1088/1757-899x/1289/1/012037 |
Abstrait: |
This study explores an automated method for identifying cracks on a concrete bridge structure using an unmanned aerial vehicle (UAV) equipped with a high-resolution camera. First, images are captured from the bridge, then a novel automated algorithm are used to isolate the region of interest. The deep learning algorithm then detects cracks on the structure using a pre-trained Convolutional Neural Network (CNN) model. The proposed method was tested on Tran Phu bridge, and the results confirmed the effectiveness of the UAV-based inspections for identifying cracks on structures. |
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sur cette fiche - Reference-ID
10777324 - Publié(e) le:
12.05.2024 - Modifié(e) le:
12.05.2024