JKSMI
Journal of the Korea Institute for
Structural Maintenance and Inspection
KSMI
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ISSN : 2234-6937 (Print)
ISSN : 2287-6979 (Online)
http://journal.auric.kr/jksmi/
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Journal of the Korea Concrete Institute
J Korea Inst. Struct. Maint. Insp.
Indexed by
Korea Citation Index (KCI)
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2023-10
(Vol.27 No.5)
10.11112/jksmi.2023.27.5.84
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References
1
Bolourian, N., Nasrollahi, M., Bahreini, F., and Hammad, A. (2023), Point cloud–based concrete surface defect semantic segmentation, Journal of Computing in Civil Engineering, 37(2).
2
Kim, H., and Kim, C. (2020), Deep-learning-based classification of point clouds for bridge inspection, Remote Sensing, 12(22).
3
Zhao, W., Jiang, Y., Liu, Y., and Shu, J. (2022), Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components, Automation in Construction, 133.
4
Yigit, C. O., Li, X., Inal, C., Ge, L., and Yetkin, M. (2010), Preliminary evaluation of precise inclination sensor and GPS for monitoring full-scale dynamic response of a tall reinforced concrete building, Journal of Applied Geodesy, 4.
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Angelique, A., Kelley, A., and Zhou, M. (2022), Tilt Measurement of Buildings Utilizing an Unmanned Aerial Vehicle, Journal of Student Academic Research, 3(1).
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Bačová, D., Ižvoltová, J., Šedivý, Š., and Chromčák, J. (2023), Different approach for the structure inclination determination, Buildings, 13(3), 637.
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Yu, R., Li, P., Shan, J., and Zhu, H. (2022), Structural state estimation of earthquake-damaged building structures by using UAV photogrammetry and point cloud segmentation, Measurement, 202, 111858.
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Fischler, M. A., Bolles, R. C. (1981), Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Communications of ACM, 24(6), 381-395.