A robust real‐time method for identifying hydraulic tunnel structural defects using deep learning and computer vision
| Auteur(s): |
Yangtao Li
(State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China)
Tengfei Bao (State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China) Tianyu Li (State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China) Ruijie Wang (State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Hohai University Nanjing China) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Computer-Aided Civil and Infrastructure Engineering, 6 juin 2023, n. 10, v. 38 |
| Page(s): | 1381-1399 |
| DOI: | 10.1111/mice.12949 |
- Informations
sur cette fiche - Reference-ID
10696439 - Publié(e) le:
11.12.2022 - Modifié(e) le:
02.09.2023
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