A study on the UAV image-based efficiency improvement of bridge maintenance and inspection

被引:11
作者
Lee, Jae Kang [1 ]
Kim, Jung Ok [2 ]
Park, Seong Jin [3 ]
机构
[1] Georgia Inst Technol, Coll Engn, Atlanta, GA 30332 USA
[2] Seoul Natl Univ, Inst Construct & Environm Engn, Seoul, South Korea
[3] Sistech Corp, Seoul, South Korea
关键词
UAV photogrammetry; bridge maintenance and inspection; inspection efficiency; 3D viewer;
D O I
10.3233/JIFS-169873
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study reviewed efficient bridge management using UAVs (Unmanned Arial Vehicles) that have much potential for facility maintenance such as the possibility of regular inspection on inaccessible parts of bridges, easy operation regardless of the operators' specialty, and economic maintenance. For this study, images were obtained from a UAV and a 3D viewer was created with them for the work efficiency of bridge inspectors, so that the inspectors can see and check inaccessible areas regardless of inspector's location. It compared various existing inspection methods for problems such as cracks, efflorescence and leakage with the UAV inspection method to analyze the work efficiency as well as sustainable economic benefit. The main purpose of this study was to figure out whether the proposed inspection using the images from the UAV and 3D viewer can replace the existing inspection methods that cannot be performed easily and analyze the economic benefit of the new method. The study result showed that the UAV image-based bridge maintenance and inspection is possible even though it was found inefficient when images of uneven quality were provided depending on operation of the UAV. Therefore, a UAV operation manual that can help generate images of even quality must be produced.
引用
收藏
页码:967 / 983
页数:17
相关论文
共 7 条
[1]   Image-based retrieval of concrete crack properties for bridge inspection [J].
Adhikari, R. S. ;
Moselhi, O. ;
Bagchi, A. .
AUTOMATION IN CONSTRUCTION, 2014, 39 :180-194
[2]  
Choi S.S., 2013, P FALL C KIICE SEOUL, P466
[3]  
Federal Highway Administration, 2014, LONG TERM BRIDG PERF
[4]   Long-distance precision inspection method for bridge cracks with image processing [J].
Li, Gang ;
He, Shuanhai ;
Ju, Yongfeng ;
Du, Kai .
AUTOMATION IN CONSTRUCTION, 2014, 41 :83-95
[5]   A UAV for bridge inspection: Visual servoing control law with orientation limits [J].
Metni, Najib ;
Hamel, Tarek .
AUTOMATION IN CONSTRUCTION, 2007, 17 (01) :3-10
[6]  
Park Kyunghoon, 2015, [Journal of Korea Academia-Industrial cooperation Society, 한국산학기술학회논문지], V16, P7893, DOI 10.5762/KAIS.2015.16.11.7893
[7]   Toward a Fully Autonomous UAV Research Platform for Indoor and Outdoor Urban Search and Rescue [J].
Tomic, Teodor ;
Schmid, Korbinian ;
Lutz, Philipp ;
Doemel, Andreas ;
Kassecker, Michael ;
Mair, Elmar ;
Grixa, Iris Lynne ;
Ruess, Felix ;
Suppa, Michael ;
Burschka, Darius .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2012, 19 (03) :46-56