Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks
| Autor(en): |
Cai Luo
(College of Oceanography and Space Informatics China University of Petroleum (East China) Qingdao China)
Leijian Yu (Department of Design, Manufacturing & Engineering Management University of Strathclyde Glasgow UK) Jiaxing Yan (School of Mechanical Engineering Xi''an Jiaotong University Shaanxi China) Zhongwei Li (College of Oceanography and Space Informatics China University of Petroleum (East China) Qingdao China) Peng Ren (College of Oceanography and Space Informatics China University of Petroleum (East China) Qingdao China) Xiao Bai (School of Computer Science and Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing China) Erfu Yang (Department of Design, Manufacturing & Engineering Management University of Strathclyde Glasgow UK) Yonghong Liu (College of Mechanical and Electronic Engineering China University of Petroleum (East China) Qingdao China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, September 2021, n. 12, v. 36 |
| Seite(n): | 1585-1599 |
| DOI: | 10.1111/mice.12686 |
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Datenseite - Reference-ID
10601280 - Veröffentlicht am:
17.04.2021 - Geändert am:
29.11.2021
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