Siheon Jeong
Papers
1
Total Citations
9
H-Index
1
About
Siheon Jeong is a researcher advancing the field of structural health monitoring through the integration of robotics and geospatial sensing. His primary research areas include tunnel infrastructure inspection, 3D LiDAR mapping, and automated condition assessment for civil engineering structures. Jeong’s most notable contribution is a long-term monitoring method for detecting tunnel structure transformation using a 3D LiDAR system mounted on a mobile robot. This innovative approach, detailed in his 2023 paper, introduces a two-phase process: generating precise 3D point cloud maps and extracting health indicators at consistent locations over time. By enabling repeatable, high-accuracy deformation tracking, his work addresses a critical challenge in underground infrastructure maintenance—reducing reliance on manual inspections and improving safety. With 9 citations to date, this study has already garnered attention for its practical application in real-world tunnel monitoring. Jeong’s research bridges robotics, computer vision, and civil engineering, offering a scalable solution for aging transportation networks. His achievements highlight a commitment to developing non-destructive, automated tools that enhance the resilience and longevity of critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1