Inspecting structural components of a construction project using laser scanning

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsLucian-Constantin Ungureanu, Timo Hartmann
PublisherUniversitatsverlag der TU Berlin
Pages352-362
Number of pages11
ISBN (Electronic)9783798331556
Publication statusPublished - 2020
Event27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020 - Virtual, Online, Germany
Duration: 1 Jul 20204 Jul 2020

Publication series

NameEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Conference27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
CountryGermany
CityVirtual, Online
Period1/07/204/07/20

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