Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A2C1005263).
References
- Ani, A.I.C., Johar, S., Tawil, N.M., Abd Razak, M.Z. and Hamzah, N. (2015), "Building information modeling (BIM)-based building condition assessment: A survey of water ponding defect on a flat roof", Jurnal Teknologi, 75(9), 25-31. https://doi.org/10.11113/jt.v75.5222
- Anuar, M.Z.T., Sarbini, N.N., Ibrahim, I.S., Osman, M.H., Ismail, M. and Khun, M.C. (2019), "A comparative of building condition assessment method used in Asia countries: A review", IOP Conference Series: Mater. Sci. Eng., 513(1), 012029. https://doi.org/10.1088/1757-899X/513/1/012029
- Celik, O., Terrell, T., Gul, M. and Catbas, F.N. (2018), "Sensor clustering technique for practical structural monitoring and maintenance", Struct. Monitor. Maint., Int. J., 5(2), 273-295. https://doi.org/10.12989/smm.2018.5.2.273
- Craig, G. (2021), "Issue : Commercial Drones", SAGE business researcher, pp. 1-15.
- Choi, S.S. and Kim, E.K. (2015), "Design and implementation of ision-based structural safety inspection system using small unmanned aircraft", Proceeding of the 2015 17th International Conference on Advanced Communication Technology, New York, USA, July. https://doi.org/10.1109/ICACT.2015.7224924
- Choi, J., Yeum, C.M., Dyke, S.J. and Jahanshahi, M.R. (2018), "Computer-aided approach for rapid post-event visual evaluation of a building facade", Sensors, 18(9), 3017. https://doi.org/10.3390/s18093017
- Falorca, J.F. and Lanzinha, J.C.G. (2020), "Facade inspections with drones-theoretical analysis and exploratory tests", Int. J. Build. Pathol. Adaptat., 39(2), 235-258. https://doi.org/10.12989/smm.2021.8.3.257
- Faqih, F., Zayed, T. and Soliman, E. (2020), "BIM Based Facility Condition Assessment", Proceedings of International Conference on Civil Infrastructure and Construction, pp. 162-171. http://dx.doi.org/10.29117/cic.2020.0022
- Fils, P., Jang, S. and Sherpa, R. (2021), "Field implementation of low-cost RFID-based crack monitoring using machine learning", Struct. Monitor. Maint., Int. J., 8(3), 257-278. https://doi.org/10.12989/smm.2021.8.3.257
- Frohlich, C. and Mettenleiter, M. (2004), "Terrestrial laser scanning-new perspectives in 3D surveying", Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci., 36(Part 8), W2.
- Huang, H., Zhang, C. and Hammad, A. (2021), "Effective Scanning Range Estimation for Using TLS in Construction Projects", J. Constr. Eng. Manage., 147(9), 04021106. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002127
- IM-19-E6-007 (2019), Detailed Guidelines for Implementation of Safety and Maintenance of Facilities (Safety Inspection and Diagnostics) Instructions, Korea Authority of Land & Infrastructure Safety; Jinju, Korea.
- Jang, K. and An, Y.K. (2018), "Multiple crack evaluation on concrete using a line laser thermography scanning system", Smart Struct. Syst., Int. J., 22(2), 201-207. https://doi.org/10.12989/sss.2018.22.2.201
- Jung, H.J., Lee, J.H., Yoon, S. and Kim, I.H. (2019), "Bridge Inspection and condition assessment using Unmanned Aerial Vehicles (UAVs): Major challenges and solutions from a practical perspective", Smart Struct. Syst., Int. J., 24(5), 669-681. https://doi.org/10.12989/sss.2019.24.5.669
- Kang, T.W., Kim, J.E. and Jung, T.S. (2016), "Deriving measures to improve MEP facility management work based on 3D reverse design", JKAIS, 17(8), 38-45.
- Kim, S.K. (2017), Application and Utilization of Drone Imaging, Korea Society Broadcasting Media Magazine, April.
- Kim, S.H. (2019), "3D Point Cloud and 4D BIM-based Construction Project EV Tracking Process", Ph.D. Dissertation, Yeungnam University, Gyeongsan, Korea.
- Kwan, A.K.H. and Ng, P.L. (2015), "Building Diagnostic Techniques and Building Diagnosis: The Way Forward", Engineering Asset Management-Systems, Professional Practices and Certification, New York, USA. https://doi.org/10.1007/978-3-319-09507-3_74
- Lattanzi, D. and Miller, G.R. (2014), "3D scene reconstruction for robotic bridge inspection", J. Infrastr. Syst., 21(2), 04014041. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000229
- Law, D.W., Holden, L. and Silcock, D. (2015), "The assessment of crack development in concrete using a terrestrial laser scanner (TLS)", Austral. J. Civil Eng., 13(1), 22-31. https://doi.org/10.1080/14488353.2015.1092635
- Liu, D., Chen, J., Hu, D. and Zhang, Z. (2019), "Dynamic BIMaugmented UAV safety inspection for water diversion project", Comput. Indust., 108, 163-177. https://doi.org/10.1016/j.compind.2019.03.004
- Liu, D., Xia, X., Chen. J. and Li, S. (2021), "Integrating building information model and augmented reality for drone-based building inspection", J. Comput. Civil Eng., 35(2), 04020073. https://doi.org/10.1061/(asce)cp.1943-5487.0000958
- Mondal, T.G. and Jahanshahi, M.R. (2020), "Autonomous visionbased damage chronology for spatiotemporal condition assessment of civil infrastructure using unmanned aerial vehicle", Smart Struct. Syst., Int. J., 25(6), 733-749. https://doi.org/10.12989/sss.2020.25.6.733
- Mukupa, W., Roberts, G.W., Hancock, C.M. and Al-Manasir, K. (2016), "A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures", Survey Rev., 49(353), 99-116. https://doi.org/10.1080/00396265.2015.1133039
- Ozcan, O. and Ozcan, O. (2021), "Automated UAV based multihazard assessment system for bridges crossing seasonal rivers", Smart Struct. Syst., Int. J., 27(1), 35-52. https://doi.org/10.12989/sss.2021.27.1.035
- Park, H.J., Ryu, J.R., Woo, S.H. and Choo, S.Y. (2016), "Improvement of the Building Safety Inspection Survey Method using Laser Scanner and BIM-based Reverse Engineering", J. Architect. Inst. Korea Plann. Des., 32(12), 79-90. https://doi.org/10.5659/JAIK_PD.2016.32.12.79
- Park, H.J., Lee, S.H., Kim, E.J. and Choo, S.Y. (2017), "A Proposal for Building Safety Diagnosis Processes Using BIM-Based Reverse Engineering Technology", Proceeding of the 22nd International conference of the Association for Computer-Aided Architectural Design Research in Asia, Hong Kong.
- Qi, Y., Yuan, C., Kong, Q., Xiong, B. and Li, P. (2021), "A deep learning-based vision enhancement method for UAV assisted visual inspection of concrete cracks", Smart Struct. Syst., Int. J., 27(6), 1031-1040. https://doi.org/10.12989/sss.2021.27.6.1031
- Sarker, M.M., Ali, T.A., Abdelfatah, A., Yehia, S. and Elaksher, A. (2017), "A cost-effective method for crack detection and measurement on concrete surface", Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci., 42, 237. https://doi.org/10.5194/isprs-archives-XLII-2-W8-237-2017
- Shi, Z. and Ergan, S. (2018), "Leveraging Point Cloud Data Detecting Building Facade Deteriorations Caused by Neighboring Consturction", Tamap J. Eng., 2018. https://doi.org/10.29371/2018.3.66
- Shi, Z. and Ergan, S. (2020), "Towards Point Cloud and ModelBased Urban Facade Inspection: Challenges in the Urban Facade Inspection Process", Proceeding of the Constuction Research Congress 2020: Safety, Workforce, and Education, Arizona, USA, March.
- Turkan, Y., Hong, J., Laflamme, S. and Puri, N. (2018), "Adaptive wavelet neural network for terrestrial laser scanner-based crack detection", Automat. Constr., 94, 191-202. https://doi.org/10.1016/j.autcon.2018.06.017
- Vasic, D., Ninkov, T., Bulatovic, V., Susic, Z. and Markovic, M. (2014), "Terrain mapping by applying unmanned aerial vehicle and lidar system for the purpose of designing in Serbia", Proceeding of the INGEO 2014-6th International Conference on Engineering Surveying, Prague, Czech Republic.
- Zhang, B., Wang, H., Huang, J. and Xu, N. (2019), "Model test on slope deformation and failure caused by transition from open-pit to underground mining", Geomech. Eng., Int. J., 19(2), 167-178. https://doi.org/10.12989/gae.2019.19.2.167