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http://dx.doi.org/10.22640/lxsiri.2020.50.2.69

UAV and LiDAR SLAM Combination Effectiveness Review for Indoor and Outdoor Reverse Engineering of Multi-Story Building  

Kang, Joon-Oh (Department of Urban Convergence Engineering, Incheon National University)
Lee, Yong-Chang (Department of Urban Engineering, Incheon National University)
Publication Information
Journal of Cadastre & Land InformatiX / v.50, no.2, 2020 , pp. 69-79 More about this Journal
Abstract
TRecently, smart cities that solve various problems in cities based on IoT technology are in the spotlight. In particular, cases of BIM application for smooth management of construction and maintenance are increasing, and spatial information is converted into 3D data through convergence technology and used for safety diagnosis. The purpose of this study is to create and combine point clouds of a multi-story building by using a ground laser scanner and a handheld LiDAR SLAM among UAV and LiDAR equipment, supplementing the Occluded area and disadvantages of each technology, examine the effectiveness of indoor and outdoor reverse design by observing shape reproduction and accuracy. As a result of the review, it was confirmed that the coordinate accuracy of the data was improved by creating and combining the indoor and outdoor point clouds of the multi-story building using three technologies. In particular, by supplementing the shortcomings of each technology, the completeness of the shape reproduction of the building was improved, the Occluded area and boundary were clearly distinguished, and the effectiveness of reverse engineering was verified.
Keywords
LiDAR SLAM; Laser Scanner; UAV; Point Cloud Combination; Reverse Engineering;
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Times Cited By KSCI : 9  (Citation Analysis)
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1 PPS. 2020. Expansion of BIM Application Range [internet]. [https://www.pps.go.kr/bbs/selectBoard.do?boardSeqNo=3035&pageIndex=1&boardId=PPS093] Last accessed 14 Aug. 2019.
2 Han SH. 2019. Reverse Engineering for Building Remodeling Using Drone and LiDAR. Proceedings of Korean Society for Geospatial Information Science. 93-94.
3 Hong SH, Cho HS, Kim NH, Sohn HG. 2015. 3D Indoor Modeling Based on Terrestrial Laser Scanning, Journal of the Korean Society of Civil Engineers. 35(2):525-531.   DOI
4 Chong HY, Lopez R, Wang J, Wang X, Zhao Z. 2016. Comparative Analysis on the Adoption and Use of BIM in Road Infrastructure Projects. Journal of Management in Engineering. 32. DOI: 05016021.10.1061/(ASCE)ME.1943-5479.0000460.   DOI
5 Martin A. Fischler & Robert C. Bolles. 1981. "Random Sample Consensus: A paradigm for modelfitting with applications to image analysis and automated cartography" (PDF). Comm. ACM. 24(6):381-395. doi:10.1145/358669.358692   DOI
6 Wang YT, Peng CC, Ravankar AA, Ravankar A. 2018. A Single LiDAR-Based Feature Fusion Indoor Localization Algorithm. DOI: 10.3390/s18041294.   DOI
7 Zhang P, Millos E, Gu J. 2009. General Concept of 3D SLAM. Mobile Robots - State of the Art in Land, Sea, Air, and Collaborative Missions. IntechOpen. DOI: 10.5772/6993.
8 Moon HS, Won JS, Shin JY. 2018. BIMRoadmap and Activation Strategies for Public SOC Projects. KICT 2018-029.
9 Kim HJ, Lee JM, Bae KH, Eo YD. 2018. Application Research on Obstruction Area Detection of Building Wall using R-CNN Technique. Journal of Cadastre & Land InformatiX. 48(2): 213-225.   DOI
10 Park HJ, Ryu JR, Woo SH, Choo SY. 2016. An Improvement of the Building Safety Inspection Survey Method using Laser Scanner and BIM-based Reverse Engineering. Journal of The Architectural Institute of Korea Planning & Design 32(12):79-90.   DOI
11 Jung RK, Koo BS, Yu YS. 2019. Using Drone and Laser Scanners for As-built Building Information Model Creation of a Cultural Heritage Building. Journal of KIBIM 9(2):11-20
12 Kang JO, Lee YC. 2019. Construction of 3D Spatial Information of Vertical Structure by Combining UAS and Terrestrial LiDAR. Journal of Cadastre & Land InformatiX. 49(2):57-66.
13 Lee YC, Kang JO. 2019. The Precise Three Dimensional Phenomenon Modeling of the Cultural Heritage based on UAS Imagery. Journal of Cadastre & Land InformatiX. 49(1):85-101.   DOI