Disease detection method of tunnel portals in plateau region based on UAV images and deep learning
Construction Robot|更新时间:2025-11-05
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Disease detection method of tunnel portals in plateau region based on UAV images and deep learning
“In the field of high-altitude tunnel portal wall disease detection, experts have proposed a detection method based on drone images and deep learning, providing a solution to the problem of intelligent detection of tunnel portal walls in harsh high-altitude environments.”
Journal of Civil and Environmental EngineeringVol. 47, Issue 5, Pages: 86-96(2025)
作者机构:
1.长安大学 公路学院,西安 710064
2.新疆交通建设管理局,乌鲁木齐 830002
作者简介:
CHE Bowen (1999- ), main research interest: structural health monitoring in cold regions, E-mail: cbwcbwcbw2@126.com.
BAO Weixing (corresponding author), PhD, professor, E-mail: baowx@chd.edu.cn.
基金信息:
Major Science and Technology Projects in Xinjiang(2020A03003-7);Shaanxi Province Natural Science Basic Research Project(2021JM-180);Basic Scientific Research Funds of Central Universities (Leading Talents Program)(300102211302)
CHE Bowen,BAO Weixing,GUO Qiang,et al.Disease detection method of tunnel portals in plateau region based on UAV images and deep learning[J].Journal of Civil and Environmental Engineering,2025,47(05):86-96.
CHE Bowen,BAO Weixing,GUO Qiang,et al.Disease detection method of tunnel portals in plateau region based on UAV images and deep learning[J].Journal of Civil and Environmental Engineering,2025,47(05):86-96. DOI: 10.11835/j.issn.2096-6717.2023.148.
Disease detection method of tunnel portals in plateau region based on UAV images and deep learning