Peer-reviewed articles 17,970 +



Title: DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY

DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY
Wioleta Blaszczak Bak; Czeslaw Suchocki; Michal Bednarczyk
10.5593/sgem2022/2.1
1314-2704
English
22
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Laser scanning can be used to acquire measurement data for Building Information Modeling (BIM). Terrestrial Laser Scanning (TLS) technology is ideal for this type of work. Having a point cloud of the measured object, dimension and model it in accordance with reality are possible. TLS gives the opportunity to obtain a big amount of observations, which on the one hand allows for an accurate depiction of the object, but on the other hand is troublesome during BIM developing. Therefore, the paper presents the methodology of preparing the TLS point cloud for BIM, taking into account the reduction of the number of observations. The reduction does not happen random, the points are examined for their usefulness and relevance during the development of BIM. The proposed methodology based on the use of the Optimum Dataset (OptD) method during reducing the size of the measurement dataset.
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conference
Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
115-122
04 - 10 July, 2022
website
8481
laser scanning, reduction, optimization of point clouds