RT Journal Article
T1 Automatic gbXML modeling from LiDAR data for energy studies
A1 Otero Alonso, Roi
A1 Frías Nores, Ernesto
A1 Lagüela López, Susana
A1 Arias Sánchez, Pedro
K1 3305.22 Metrología de la Edificación
K1 1207.02 Sistemas de Control
AB This paper proposes an efficient and simplified procedure for the 3D modelling of buildings, based on the semi-automatic processing of point clouds acquired with mobile LiDAR scanners. The procedure is designed with the aim at generating BIM, in gbXML format, from the point clouds. In this way, the main application of the procedure is the performance of energy analysis, towards the increase of the energy efficiency in the construction sector, and its consequent contribution to the mitigation of the climate change. Thus, the main contribution of the methodology proposed is its easiness of use and its level of automation, which allow its utilization by users who are experts in the use of energy in buildings but non-experts on 3D modelling. The software provides a solution for the 3D modelling of complex point clouds of various millions of points in times of execution less than 10 minutes. The system is evaluated through its application to three different real-world scenarios and compared with manual modelling. Moreover, the results are used for an example of an energy application, proving their performance against manually elaborated models.
PB Remote Sensing
SN 20724292
YR 2020
FD 2020-08-19
LK http://hdl.handle.net/11093/1552
UL http://hdl.handle.net/11093/1552
LA eng
NO Remote Sensing, 12(17): 2679 (2020)
NO Xunta de Galicia | Ref. IN852A 2018/59
DS Investigo
RD 21-abr-2025