Automatic construction of structural meshes from photographic and laser surveys

Automatic construction of structural meshes from photographic and laser surveys


download PDF

Abstract. The focus of this paper is the analyses of various work pipelines, allowing to manage the transition from in-situ surveys to cloud of points and geometric meshes optimized for structural purposes. This topic is very challenging, and today is almost always performed through homemade, uncontrolled, approaches, requiring the passage of information between numerous codes. These unsupervised workflows often compromise the integrity and the reliability of the results. Here two experimental case studies are reported to check the performances of two pipelines, based on photographic and laser surveys, respectively. The proposed comparison is used to outline significant indications on how properly manage the transformation, in order to create a “true” digital twin of the given structure.

Work Pipelines, Photographic/Laser Surveys, Structural Meshes

Published online 3/17/2022, 6 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Ivan PADUANO, Andrea MILETO, Egidio LOFRANO, Automatic construction of structural meshes from photographic and laser surveys, Materials Research Proceedings, Vol. 26, pp 251-256, 2023


The article was published as article 41 of the book Theoretical and Applied Mechanics

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

[1] Y. Pan, A. Braun, A. Borrmann, I. Brilakis, Void-growing: a novel Scan-to-BIM method for Manhattan world buildings from point cloud, in European Conference on Computing in Construction, Online eConference, July 26-28 (2021).
[2] J.W. Ma, B. Han, F. Leite, An automated framework for generating synthetic point clouds from as-built BIM with semantic annotation for scan-to-BIM, in Winter Simulation Conference (WSC), IEEE (2021).
[3] Y. Alshawabkeh, A. Baik, Y. Miky, Integration of laser scanner and photogrammetry for heritage BIM enhancement, ISPRS International Journal of Geo-Information 10 (2021) 316.
[4] S. Mostafa, H. Villamor, R.A. Stewart, K. Sturm, E. Suprun, S. Vohland, Costs and benefits data mapping of BIM laser scan integration: a case study in Australia, in Joint International Conference on Design and Construction of Smart City Components, Springer, Cham (2019).
[5] M.-K. Kim, Q. Wang, J.-W. Park, J.C.P. Cheng, H. Sohn, C.-C. Chang, Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM, Automation in construction 72 (2016) 102-114.
[6] N. Ham, S.-H. Lee, Empirical study on structural safety diagnosis of large-scale civil infrastructure using laser scanning and BIM, Sustainability 10 (2018) 4024.