Automatic façade modelling using point cloud data for energy-efficient retrofitting
作者： M. Previtali , L. Barazzetti , R. Brumana , B. Cuca , D. Oreni
DOI: 10.1007/S12518-014-0129-9
关键词: Energy consumption 、 Euclidean vector 、 Retrofitting 、 Facade 、 Building information modeling 、 Efficient energy use 、 Data mining 、 Point cloud 、 Computer science 、 Laser scanning
摘要: Energy-efficient retrofitting of existing buildings is a key aspect for reaching the proposed energy consumption reduction targets fixed by public authorities in different countries. For this task, the availability of as-built building models is of primary importance for both diagnosis of thermal dispersion and designing of retrofitting. In this paper, we present an automated methodology to derive highly detailed 3D vector models of existing building façades starting from terrestrial laser scanning data. The presented methodology first …
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