Events5th International Electronic Conference on Sensors and Applications
Published
This submission belongs to the session S3. Structural Health Monitoring Technologies and Sensor Networks of the event 5th International Electronic Conference on Sensors and Applications
Published date
15 Nov, 2018
Citation
Dong Ha Lee, Tri Dev Acharya, Jae Kang Lee, Min Jun Kim, Jung Ok Kim, Jin Soo Kim, Unmanned Aerial Vehicle Assisted Crack Detection for Wonjudaegyo Bridge in Korea, in Proceedings of 5th International Electronic Conference on Sensors and Applications, 15 November–30 November 2018, MDPI: Basel, Switzerland, doi: 10.3390/ecsa-5-05835
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Unmanned Aerial Vehicle Assisted Crack Detection for Wonjudaegyo Bridge in Korea

Min Jun Kim 1
Jin Soo Kim 3
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1. LX Korea Land and Geospatial Informatix Corporation, Spatial Information Research Institute, Jeonju 54870, Korea
2. Institute of Construction and Environmental Engineering, Seoul National University, Seoul 08826, Korea
3. National Assembly Research Service, Seoul 07233, Korea
4. Department of Civil Engineering, Kangwon National University, Chuncheon, 24341 Republic of Korea
Abstract

Since the 1970s, Korea has achieved exponential economic growth over a short period of time with huge number of infrastructures built. However, 30 years past these infrastructures are now deteriorating at rapid pace due to extensive use and climatic factors, raising safety issue in recent years. The current task force face limitations in monitoring and maintenance due to various reasons: insufficient budget, increasing number of infrastructure facilities requiring maintenance, shortage of manpower, and rapidly increasing number of aging infrastructure facilities. To overcome these limitations, a new approach is required that is different from manual inspection methods under the existing rules and regulations. In such context, this study aimed to explore the efficiency of bridge inspection for cracks by Unmanned Aerial Vehicle (UAV) that could observe inaccessible areas, could be conveniently and easily controlled, and could offer high economic benefits. A case study of UAV based crack detection of for high bridge in Wonjudaegyo Bridge, Korea was done. The result shows effective crack detection on the structure than traditional methods.

Keywords
structural health monitoring
crack detection
bridge
Korea
UAV
PIX4D
Manuscript
Oral Presentation
Poster
JKL_ECSA5_Poster_v1.pdf
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