From point cloud data to building information modelling: an automatic parametric workflow for heritage

Andriasyan, M, Moyano, J, Nieto-Julián, JE and Antón, D ORCID: https://orcid.org/0000-0002-4267-2433, 2020. From point cloud data to building information modelling: an automatic parametric workflow for heritage. Remote Sensing, 12 (7): 1094. ISSN 2072-4292

Preview

Text 1446445_Anton Garicia.pdf - Published version Download (9MB) | Preview

Abstract

Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

Item Type:	Journal article
Publication Title:	Remote Sensing
Creators:	Andriasyan, M., Moyano, J., Nieto-Julián, J.E. and Antón, D.
Publisher:	MDPI AG
Date:	2020
Volume:	12
Number:	7
ISSN:	2072-4292
Identifiers:	Number Type 10.3390/rs12071094 DOI 1446445 Other
Rights:	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Linda Sullivan
Date Added:	17 Jun 2021 10:15
Last Modified:	17 Jun 2021 10:15
URI:	https://irep.ntu.ac.uk/id/eprint/43110

Actions (login required)

Edit View

Statistics

Views

Downloads