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Photogrammetry-based approach for collecting and processing information about an existing building

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Date
2023
Author
Kontrimovičius, Robertas
Juszczyk, Michał
Leśniak, Agnieszka
Ustinovičius, Leonas
Miedziałowski, Czesław
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Abstract
Due to the organization of construction works, one of the most difficult situations is when a building is planned in a heritage or in a densely built-up location. Manually fixing an existing situation takes a lot of time and effort and is usually not accurate. For example, it is not always possible to measure the exact spacing between buildings at different levels and to consider all outside elements of an existing building. Improper fixation of the existing situation causes mistakes and collisions in design and the use of inappropriate construction solutions. The development and progress in technologies such as BIM, laser scanning, photogrammetry broaden the options for supporting the management of construction projects. It is important to have an effective fast collection and processing of useful information for management processes. The purpose of this paper is to analyze and present some aspects of photogrammetry for the purpose of collecting and processing information about existing buildings. The methodology of the study is based on the comparison of two alternative approaches, namely photogrammetry and BIM modelling. The case studies present an analysis of the quantity take-offs for selected elements and parts of the buildings based on the two approaches. In this article, the specific use of photogrammetry shows that the error between the detailed BIM model and the photogrammetry model is only 1,02% and the accuracy 98,98%. Moreover, physical capabilities do not always allow to measure every desired element in reality. This is followed by a discussion of the usability of photogrammetry.
Issue date (year)
2023
URI
https://etalpykla.vilniustech.lt/handle/123456789/114347
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  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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