Error and accuracy of manual measurement in heritage documentation process
Keywords:
accuracy, architectural-heritage, documentation, error-estimation, manual-measurement, point-cloud, Terrestrial-Laser-ScanningAbstract
This article aimed to determine the extent to which measurements obtained using the traditional manual method —with the use of a tape measure— vary in relation to LiDAR measurements acquired with a terrestrial laser scanner in architectural spaces and their furnishings. These dimensions were evaluated based on measurements obtained through Terrestrial Laser Scanning (TLS). Manual surveying is more economical, requiring only a measuring tape. On the other hand, the LiDAR sensor of a TLS performs measurements based on Time of Flight (ToF), estimating dimensions according to the time it takes for the light beam to travel from the sensor to an opaque reflective surface and back. This system is calibrated and directly uses the current meter standard. As a case study, an interior space used as a reading room was captured. Error estimation was conducted by comparing 307 measurements obtained using the traditional manual tape-measure method with measurements derived from the dense point cloud captured by LiDAR. The results showed an average relative error of 3.895%. The root mean square error obtained was RMSE (0.062684 m). The high level of accuracy achieved in the measurements is useful for research aimed at identifying deformations, tilting, and existing damage in historic buildings. The significance of this research lies in providing parametric indicators associated with measurement accuracy for decision-makers determining the type of measurement required according to documentation or intervention needs.
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References
Abdel-Bary Ebrahim, M. (2011). 3D laser scanners: History, applications and future. Assiut, Egypt: Assiut University.
American Society for Test and Materials. (2026). ASTM E2807-11(2019). Standard Specification for 3D Imaging Data Exchange, Version 1.0. https://doi.org/10.1520/E2807-11R19
Autodesk. (2023). Autodesk ReCap Educational Version (v2024) [Software].
Barreto, H., Howland, F. (2006). Introductory Econometrics Using Monte Carlo Simulation with Microsoft Excel. Cambridge University Press.
Basetlaw District Council North Nottinghanshire. (2013). A guide to heritage asset recording. https://www.bassetlaw.gov.uk/planning-and-building-control/planning-policy/conservation-and-heritage/guidance-and-useful-links/guidance-and-advice-documents-for-conservation/a-guide-to-heritage-asset-recording/
Böge, S., & Karabörk, H. (2020). Integration of Different Methods for Architectural Survey of Historical and Cultural Heritages. Turkish Journal of Geosciences, 1 (2), 53-62. https://izlik.org/JA83HL37HM
Castilla, F. J., Ramón, A., Adán, A., Trenado, A., & Fuentes, D. (2021). 3D sensor-fusion for the documentation of rural heritage buildings. Remote Sensing, 13 (7), 1337. https://doi.org/10.3390/rs13071337
Chun-Yuan, A. Yong, Mohd Ariff, M. F., Omar, A. H., & Mat Amim, Z. (2024). Comparison of As-Built Surveys Using Handheld Laser Scanner and Conventional Method. Journal of Advanced Geospatial Science & Technology, 4 (1), 43-64. https://doi.org/10.11113/jagst.v4n1.84
Congalton, R. G., Green, Kass. (2008). Assessing the Accuracy of Remotely Sensed Data. Principles and Practices (Second Edition). CRC Press.
Cosarca, C., Jocea, A., & Savu, A. (2009). Analysis of error sources in Terrestrial Laser Scanning. J Geod Cadaster, 11, 115-124.
Cruz-Ramírez, L. C., Alejo-García, V.H., Camargo-Suárez, E. A. E., Zárate-Martínez, J. F. (2023). Variaciones en los tiempos de captura en la elaboración de modelos de nubes de puntos con Escáner Láser Terrestre por condiciones de campo. Arquitectura +, 8 (16), 54-69. DOI: https://doi.org/10.5377/arquitectura.v8i16.17153
Desgodetz, A. (1682). Les edifices antiques de Rome / dessinés et mesurés tres exactement par Antoine Desgodetz architecte. (Fac-similé de l’édition de 1682). https://archive.org/details/gri_33125012870297/page/132/mode/2up https://bibliotecadigital.museodelprado.es/pradobib/es/media/group/1002399.do
Di Stefano, F., Chiappini, S., Gorreja, A., Balestra, M., & Pierdicca, R. (2021). Mobile 3D scan LiDAR: A literature review. Geomatics, natural hazards and risk, 12 (1), 2387-2429. https://doi.org/10.1080/19475705.2021.1964617
Électricité de France (EDF). (2024). CloudCompare (2.13) [Software]. Obtenido de www.cloudcompare.org
Elkhrachy, I. (2021). Accuracy assessment of low-cost unmanned aerial vehicle (UAV) photogrammetry. Alexandria Engineering Journal, 60(6), 5579-5590.
Erturan, A. M., Durdu, A., & Erturan, E. M. (2019). The use of LIDAR technology in architectural offices. European Journal of Engineering Science and Technology. https://gcris.ktun.edu.tr/bitstream/20.500.13091/8430/1/msetconf-4-114.pdf
Gleń, P., & Krupa, K. (2019). Comparative analysis of the inventory process using manual measurements and laser scanning. Budownictwo i Architektura, 18 (2), 021-030. https://doi.org/10.35784/bud-arch.552
Janus, J., & Ostrogórski, P. (2022). Underground Mine Tunnel Modelling Using Laser Scan Data in Relation to Manual Geometry Measurements. Energies, 15 (7), 2537. https://doi.org/10.3390/en15072537
Khanal, M., Hasan, M., Sterbentz, N., Johnson, R., & Weatherly, J. (2020). Accuracy comparison of aerial lidar, mobile-terrestrial lidar, and UAV photogrammetric capture data elevations over different terrain types. Infrastructures, 5(8), 65. https://www.mdpi.com/2412-3811/5/8/65
Kwoczynska, B., Litwin, U., Piech, I., Obirek, P., & Sledz, J. (2016). The use of terrestrial laser scanning in surveying historic buildings. In 2016 Baltic Geodetic Congress (BGC Geomatics), 263-268. IEEE. https://doi.org/10.1109/BGC.Geomatics.2016.54
Lane, R. (2016). Understanding Historic Buildings. A Guide to Good Recording Practices. Historic England. https://historicengland.org.uk/images-books/publications/understanding-historic-buildings/heag099-understanding-historic-buildings/
Leica Geosystems. (2014a). Cyclone 9.0 [Software].
Leica Geosystems. (2025). Leica ScanStation C10. Obtenido de Leica ScanStation C10: https://cpec.leica-geosystems.com/es/producto/leica-scanstation-c10/
Leica Geosystems. (2014b). Leica Scan Station C10. El escáner láser todo en uno para cualquier aplicación. https://www.ecomexico.net/uploads/files/20140425-8c2ad_ScanStationC10_Specs_esp.pdf?srsltid=AfmBOorEu2zBomgaDWP2hsMilAOSvogR2nzENI8ue85MhVjMowyodYkh
Lin, G.; Giordano, A.; Sang, K.; Stendardo, L.; Yang, X. (2021). Application of Territorial Laser Scanning in 3D Modeling of Traditional Village: A Case Study of Fenghuang Village in China. ISPRS International Journal of Geo-Information, 10 (11), 770. https://doi.org/10.3390/ijgi10110770
Lind, D., Marchal, W. D., Wathen, S. A. (2012). Estadística aplicada a los negocios y la economía, (15va edición). México: McGrawHill
Marconi, P. (1997). La restauración arquitectónica en Italia, hoy. Loggia, Arquitectura & Restauración, (3), 8. https://doi.org/10.4995/loggia.1997.5713
Mohamed, M. A., Shaker, I. F., Ragab, A. F., & Mogahed, Y. M. (2019). Accuracy assessment of terrestrial laser scanner in heritage documentation. Int. J. Eng. Adv. Technol, 8, 117-123.
Moyano, J., Nieto-Julián, J. E., Bienvenido-Huertas, D., & Marín-García, D. (2020). Validation of close-range photogrammetry for architectural and archaeological heritage: Analysis of point density and 3D mesh geometry. Remote sensing, 12 (21), 3571. https://doi.org/10.3390/rs12213571
Muralikrishnan, B. (2021). Performance evaluation of terrestrial laser scanners—A review. Measurement Science and Technology, 32 (7), 072001. https://doi.org/10.1088/1361-6501/abdae3
Neter, J., Waserman, W., Whitmore, G. A. (1973/1978). Fundamentos de estadística para negocios y economía. México: Compañía Editorial Continental (CECSA).
Norin, V. (2023). Measurements of building structures. E3S Web of Conferences, 389, 06008. https://doi.org/10.1051/e3sconf/202338906008
Ozimek, A., Ozimek, P., Skabek, K., & Łabędź, P. (2021). Digital modelling and accuracy verification of a complex architectural object based on photogrammetric reconstruction. Buildings, 11 (5), 206. https://doi.org/10.3390/buildings11050206
Rivera-Blanco, Javier. (2008). De varia restauratione: teoría e historia de la restauración arquitectónica. Abada Editores.
Sirmacek, B., & Lindenbergh, R. (2014). Accuracy assessment of building point clouds automatically generated from iphone images. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 547-552. https://isprs-archives.copernicus.org/articles/XL-5/547/2014/isprsarchives-XL-5-547-2014.pdf
Tam, A. (2023). Deep Learning with PyTorch. Learn Basic Deep Learning with Minimal Code in PyTorch 2.0. Machine Learning Mastery.
Tan, Y., Liu, X., Jin, S., Wang, Q., Wang, D., & Xie, X. (2023). A terrestrial laser scanning-based method for indoor geometric quality measurement. Remote Sensing, 16 (1), 59. https://doi.org/10.3390/rs16010059
Tang, P., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction, 19 (7), 829-843. https://doi.org/10.1016/j.autcon.2010.06.007
United Nations Educational, Scientific and Cultural Organization [UNESCO]. (1994). Nara document on Authenticity. https://whc.unesco.org/archive/nara94.htm
Wu, C.; Yuan, Y.; Tang, Y.; Tian, B. (2022). Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry. Sensors, 22, 265. https://doi.org/10.3390/s22010265
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