Earticle

초록

영어

Due to the "Special Act on the Safety and Maintenance of Facilities" in Korea, periodic exterior investigations of buildings are required. However, since the survey method is based on manpower, it can cause problems such as accessibility to the survey target, safety of the investigator, cost and time, and reliability of the survey results. In order to solve the problems of this manpower-based investigation method, artificial intelligence, drones, and metaverse were used to automatically identify damage to facilities and develop convergence technologies that increase access to facilities.

목차

Abstract
1. Introduction
2. Proposed Method
3. Experimental validation
3.1. Data Acquisition
3.2. Damage Detection
3.3. 3D Model Generation & Damage visualization
3.4. VR environment
4. Conclusion
Acknowledgement
Reference

저자

• Atadjanova Yulduz Alisherovna [ Department of Civil & Environmental Engineering Sejong University ]
• Yu Yong-Rae [ Department of Civil & Environmental Engineering Sejong University ]
• Jalal Safari Bazargani [ Department of Computer Engineering Sejong University ]
• SangIl Yoon [ Department of Software Sejong University ]
• Hanjoo Lee [ Department of Software Sejong University ]
• Soo-mi Choi [ Department of Computer Engineering Sejong University ]
• Jong-Jae Lee [ Department of Civil & Environmental Engineering Sejong University ] Corresponding Author

참고문헌