Hybrid deep learning architecture for rail surface segmentation and surface defect detection
| Autor(en): |
Yunpeng Wu
(State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China)
Yong Qin (State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China) Yu Qian (Department of Civil and Environmental Engineering University of South Carolina Columbia South Carolina USA) Feng Guo (Department of Civil and Environmental Engineering University of South Carolina Columbia South Carolina USA) Zhipeng Wang (State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China) Limin Jia (State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, 4 Januar 2022, n. 2, v. 37 |
| Seite(n): | 227-244 |
| DOI: | 10.1111/mice.12710 |
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Datenseite - Reference-ID
10612567 - Veröffentlicht am:
09.07.2021 - Geändert am:
07.01.2022
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