TY - GEN
T1 - Preliminary safety evaluation method of buildings using Unmanned Aerial Vehicle (UAV)
AU - Lee, J. H.
AU - Bae, J. H.
AU - Ju, Young K.
N1 - Funding Information:
This study was supported by the National Research Foundation of Korea (NRF) and the Ministry of the Interior and Safety as Human resource development Project in Disaster management funded by Korean government (No. NRF-2018R1A4A1026027).
Publisher Copyright:
© 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The development of the fourth industrial revolution has influenced various industrial fields worldwide. The Unmanned Aerial Vehicle (UAV) is expected to be one of the most commercialized areas in the world for the next decade. Since the importance of building safety checks in South Korea is growing, this study focuses on developing a preliminary safety inspection process with UAV, specifically for cracks and deformation. The process includes various methods to improve surveying efficiency, such as thermography, machine learning algorithms, and 3D point cloud modeling. After proposing the inspection process, detailed structural evaluating methods are verified against a conventional method. The image processing method is performed to examine exterior defects, and quantitative defect evaluation methods are applied using 3D point cloud models of buildings. As a result, a crack map, crack depth, and deformations of structures are obtained. Error rates are compared between the proposed method and the conventional method. This paper presents an aerial image-based approach using the UAV for inspecting cracks and deformations of buildings.
AB - The development of the fourth industrial revolution has influenced various industrial fields worldwide. The Unmanned Aerial Vehicle (UAV) is expected to be one of the most commercialized areas in the world for the next decade. Since the importance of building safety checks in South Korea is growing, this study focuses on developing a preliminary safety inspection process with UAV, specifically for cracks and deformation. The process includes various methods to improve surveying efficiency, such as thermography, machine learning algorithms, and 3D point cloud modeling. After proposing the inspection process, detailed structural evaluating methods are verified against a conventional method. The image processing method is performed to examine exterior defects, and quantitative defect evaluation methods are applied using 3D point cloud models of buildings. As a result, a crack map, crack depth, and deformations of structures are obtained. Error rates are compared between the proposed method and the conventional method. This paper presents an aerial image-based approach using the UAV for inspecting cracks and deformations of buildings.
KW - 3D modeling
KW - AI (Artificial Intelligence)
KW - Post-Earthquake Rapid Safety Evaluation
KW - SHM (Structural Health Monitoring)
KW - Thermography
KW - UAV (Unmanned Aerial Vehicle)
UR - http://www.scopus.com/inward/record.url?scp=85074455375&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85074455375
T3 - 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report
SP - 2472
EP - 2478
BT - 20th Congress of IABSE, New York City 2019
PB - International Association for Bridge and Structural Engineering (IABSE)
T2 - 20th IABSE Congress, New York City 2019: The Evolving Metropolis
Y2 - 4 September 2019 through 6 September 2019
ER -