Combination of Terrestrial Laser Scanner and Unmanned Aerial Vehicle Technology in The Manufacture of Building Information Model
Abstract
The rapid development of the construction world in Indonesia has led to an increase in supporting technology that is more effective and efficient. The Building Information Model (BIM) technology that begins with the creation of an as-built 3D model, this model describes the existing condition of the building. The Terrestrial Laser Scanner (TLS) method can provide a point cloud with a decent point density, but there are still areas of the building that aren't covered, such as the roof. To be more complete and detailed, additional data is needed using an Unmanned Aerial Vehicle (UAV). The results of the combination of TLS and UAV complement each other so that the results of the point cloud can form more detailed buildings. BIM may be built by combining these two data sets, allowing for the three-dimensional depiction of assets in buildings. The registration results for TLS point cloud data have a fairly good value where the overlap value is 44.9% (minimum 30%), balance is 41.2% (minimum 20%), points < 6mm is 98.9% (minimum 90%). The measurement results using the UAV have an RMSE GCP value of 0.266m and an RMSE ICP of 0.455m. Merging the results of TLS and UAV measurements is done using 3DReshaper software with four align points. The final result of making the BIM model is obtained level of detail (LOD) 3 where room models such as columns, floors, stairs, and walls are well depicted, while asset models such as furniture are also depicted although they are still simple objects.
Downloads
References
Achille C, Adami A, Chiarini S, Cremonesi S, Fassi F, Fregonese L, Taffurelli L. (2015). UAV-based photogrammetry and integrated technologies for architectural applications – methodological strategies for the after-quake survey of vertical structures in mantua (Italy). Sensors. 15:15520–15539.
Andriasyan, M.; Moyano, J.; Nieto-Julián, J.E.; Antón, D. (2020). From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage. Remote Sens. 2020, 12, 1094.
Anil, E.B.; Tang, P.; Akinci, B.; Huber, D. (2013) Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data. Autom. Constr. 35, 507–516.
Calvo, K. (2016). So You Want to Fly a Phantom 4? From 10 14, 2020, dari National Geographic: https://blog.nationalgeographic.org/2016/03/03/so-you-want-to-fly-a-phantom-4/
Caroti G, Piemonte A, Redini M. (2015). Geomatics monitoring and models of the insalination of the freshwaters phenomenon along the Pisan coastline. Appl Geomatics. 7(4):243–253.
Hartiningsih. (2016). Konstruksi Bangunan Untuk Desain Interior. Yogyakarta: ISI Yogyakarta. doi: ISBN: 978-979-8242-98-4
Hutagalung, A. P. (2017). Analisis Ketelitian Data Pemodelan 3 Dimensi Dengan Metode Traverse dan Metode Cloud To Cloud Menggunakan Terrestrial Laser Scanner (Vol. Skripsi). Semarang: Universitas Diponegoro.
Hutapea, E. (2019). Teknologi BIM Percepat Konstruksi Proyek Sesuai Desain. Diambil kembali dari Kompas.com: https://properti.kompas.com/read/2019/03/30/193000521/teknologi-bim-percepat-konstruksi-proyek-sesuai-desain?page=all
Linder, W. (2016). Digital Photogrammetry - A Practical Course (Vol. Fourth Edition). Heidelberg: Springer. doi:10.1007/978-3-662-50463-5
MILL, T., ALT, A., and LIIAS, R. (2013). Combined 3D Building Surveying Techniques - Terrestrial Laser Scanning (TLS) And Total Station Surveying For BIM Data Management Purposes. Journal Of CIvil Engineering And Management, 19, S23-S32. doi:ISSN : 1822-3605
Mochtar. (2012). Perbandingan Metode Registrasi Terrestrial Laser Scanner (Studi Kasus : Aula Timur dan Gardu Listrik GKU Timur) (Vol. Skripsi). Bandung: Insitut Teknologi Bandung.
Muszy´nski, Z. and Rybak, J. (2017). Evaluation of Terrestrial Laser Scanner Accuracy in the Control of Hydrotechnical Structures. Stud. Geotech. Mech, 39, 45–57.
Paul R. Wolf, B. A. (2014). Elements of Photogrammetry with Application in GIS (Vol. Fourth Edition). United States: Cenveo Publisher. doi:ISBN : 978-0-07-176111-6
Yanushevsky, R. (2011). Guidance of Unmanned Aerial Vehicles. New York: Taylor & Francis Group. doi:ISSN : 978-1-4398-5095-4
Copyright (c) 2021 Journal of Applied Geospatial Information
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright @2023. This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Copyrights of all materials published in JAGI are freely available without charge to users or / institution. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.