BIM-enhanced semantic segmentation algorithm for construction scenes of oversized excavation sites
|更新时间:2025-11-22
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BIM-enhanced semantic segmentation algorithm for construction scenes of oversized excavation sites
“In the field of architecture, experts introduce semantic segmentation algorithms, construct BIM enhanced datasets, and develop DeepLabv3+algorithms to achieve accurate recognition of target objects in construction site images.”
Journal of Civil and Environmental EngineeringPages: 1-12(2025)
作者机构:
1.国网电力工程研究院有限公司,北京 100055
2.同济大学 土木工程学院,上海 200092
3.上海城建市政工程(集团)有限公司,上海 200065
作者简介:
brief: YANG Yifeng (1998- ), PhD, main research interest: intelligent monitoring and risk sssessment for deep excavations, E-mail: yangyifeng@ei.sgcc.com.cn.
LIU Yingbin (corresponding author), PhD, E-mail: liuyb_sd@foxmail.com.
基金信息:
National Natural Science Foundation of China(52090082)
YANG Yifeng,LI Kang,LIU Yingbin,et al.BIM-enhanced semantic segmentation algorithm for construction scenes of oversized excavation sites[J].Journal of Civil and Environmental Engineering,
YANG Yifeng,LI Kang,LIU Yingbin,et al.BIM-enhanced semantic segmentation algorithm for construction scenes of oversized excavation sites[J].Journal of Civil and Environmental Engineering,DOI:10.11835/j.issn.2096-6717.2025.107.
BIM-enhanced semantic segmentation algorithm for construction scenes of oversized excavation sites