.png){kind=icon}
.png){kind=icon}
Return
Digital twin-based bridge geometric quality inspection using knowledge mapping and data-driven method
.png){kind=icon}
PRE
AI
DOI：10.1016/j.autcon.2025.106383.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A knowledge model is established through ontology-based knowledge mapping. • The digital twin process for bridge geometry quality inspection is constructed. • A large-scale point cloud segmentation network based on HFA and NFE is proposed. • A prototype system is designed to validate the feasibility of the proposed method.
Journal
IF:
11.5
Papers:
6.2K
Citations:
4.2W
Organization
No organization information available