A robust real‐time method for identifying hydraulic tunnel structural defects using deep learning and computer vision
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Computer-Aided Civil and Infrastructure Engineering, 6 June 2023, n. 10, v. 38 |
| Page(s): | 1381-1399 |
| DOI: | 10.1111/mice.12949 |
- About this
data sheet - Reference-ID
10696439 - Published on:
11/12/2022 - Last updated on:
02/09/2023
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