A robust real‐time method for identifying hydraulic tunnel structural defects using deep learning and computer vision
| Autor(en): |
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) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, 6 Juni 2023, n. 10, v. 38 |
| Seite(n): | 1381-1399 |
| DOI: | 10.1111/mice.12949 |
- Über diese
Datenseite - Reference-ID
10696439 - Veröffentlicht am:
11.12.2022 - Geändert am:
02.09.2023
Structurae kooperiert mit
