Abstract
Abstract. The adoption of 3D survey techniques is essential to promote efficient and timely information acquisition on constructed buildings. This article addresses terrestrial LiDAR (TLS) and close-range photogrammetric data fusion for the 3D modeling of a building in Level of Detail (LoD) 3. The selected building presents challenging elements for modeling, such as extended curved slabs, external glass walls, recessed facades and diverse roof pitches. It is located on the campus of the Federal University of Paraná (UFPR) in Curitiba, Brazil. The accuracy of the data integration was obtained through the analysis of deviations between the clouds of primary points. The accuracy of the point cloud model was verified by comparing its dimensions with the real dimensions of the building, obtained by means of a handheld laser distance meter (EDM). The results demonstrate that there was a correspondence between the EDM measures and the model, with a satisfactory statistical agreement between the estimated and reference values and a general maximum absolute error of 4.5 cm. The article focuses on the accuracy of point cloud models for the cadastral updating of buildings, providing information for decision making in projects documentation and interventions.
Highlights
Since the Industrial Revolution, in the 18th and 19th centuries, urbanization has become a large-scale phenomenon worldwide, transferring large numbers of rural populations to urban centers
The urban population growth impacts the civil construction sector, which experiences a greater demand in view of the need for renovations and new constructions
It is possible to observe through the photographs several trees close to the building, which jeopardized the acquisition of the facades data
Summary
Since the Industrial Revolution, in the 18th and 19th centuries, urbanization has become a large-scale phenomenon worldwide, transferring large numbers of rural populations to urban centers. The urban population growth impacts the civil construction sector, which experiences a greater demand in view of the need for renovations and new constructions This increases the need for efforts to design, register and document existing, planned and under construction buildings. A direct consequence of such facts is the increase in slums and the occupation of precarious buildings, which become the temporary home for thousands of needy people (Ramírez-Orozco, 2019) In this context, it is necessary to elaborate diagnoses and proper documentation for public and private buildings that are unfinished, abandoned, or vacant, so as to improve their performance, functionality and environmental quality, aiming to meet the current sustainability standards
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