Yuanyuan Dai
Papers
1
Total Citations
2
H-Index
1
About
Yuanyuan Dai is a rising researcher in the field of underground engineering and geospatial sensing, with a focused expertise in LiDAR-based structural health monitoring. Her work addresses a critical challenge in modern urban construction and mine development: the accurate detection of subterranean roadway deformations caused by geological shifts or accident loads. In her most-cited paper, "Subterranean roadway deformation detection based on LiDAR scanning and fusion filtering" (2026), Dai introduces an innovative method that combines LiDAR scanning with advanced fusion filtering techniques to identify both elastic and plastic deformations in underground spaces. This contribution is vital for ensuring the safety and longevity of subterranean infrastructure. Although her citation count is currently modest, her work represents a foundational step in integrating real-time sensing with robust data processing for underground environments. Dai’s research holds significant promise for advancing smart mining and urban tunnel safety, positioning her as an emerging voice in the intersection of remote sensing and civil engineering.
Research Focus
Key Achievements
Top Papers
- 1