TY - GEN
T1 - Inspecting structural components of a construction project using laser scanning
AU - Truong, L.
AU - Lindenbergh, Roderik
PY - 2020
Y1 - 2020
N2 - In construction projects, inspection of structural components mostly relies on typical measurements (e.g. measuring tapes, levelling or total stations). Additionally, with those methods, only a few points on the structure can be measured, and resulted inspection may not fully reflect the actual, detailed condition. Laser scanning is emerging a remote sensing technology to capture the structures' surfaces in high details accurately and quickly. However, because of complex, massive data points acquired from the construction project, in practice, data processing is still manual work with support of computer aided program. To improve current workflows, this paper proposes a method automatically extracting structural components of the concrete building and subsequently inspects them in a term of deformation. The proposed method explores both spatial information of a point cloud and contextual knowledge of structures (e.g. orientation or shape). Additionally, based on the fundamental design of the structures, component's boundaries are automatically extracted to establish un-deformed surfaces of the components for deformation measurement.
AB - In construction projects, inspection of structural components mostly relies on typical measurements (e.g. measuring tapes, levelling or total stations). Additionally, with those methods, only a few points on the structure can be measured, and resulted inspection may not fully reflect the actual, detailed condition. Laser scanning is emerging a remote sensing technology to capture the structures' surfaces in high details accurately and quickly. However, because of complex, massive data points acquired from the construction project, in practice, data processing is still manual work with support of computer aided program. To improve current workflows, this paper proposes a method automatically extracting structural components of the concrete building and subsequently inspects them in a term of deformation. The proposed method explores both spatial information of a point cloud and contextual knowledge of structures (e.g. orientation or shape). Additionally, based on the fundamental design of the structures, component's boundaries are automatically extracted to establish un-deformed surfaces of the components for deformation measurement.
UR - http://www.scopus.com/inward/record.url?scp=85091024200&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85091024200
T3 - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
SP - 352
EP - 362
BT - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
A2 - Ungureanu, Lucian-Constantin
A2 - Hartmann, Timo
PB - Universitatsverlag der TU Berlin
T2 - 27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
Y2 - 1 July 2020 through 4 July 2020
ER -