DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY-Reference-Cited by-同舟云学术

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

Published:2022-11-15 Issue: Volume: Page:
ISSN:1314-2704
Container-title:22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing
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Author:

Blaszczak Bak Wioleta¹,Suchocki Czeslaw²^ORCID,Bednarczyk Michal¹

Affiliation:

1. University of Warmia and Mazury in Olsztyn, Faculty of Geoengineering

2. Koszalin University of Technology, Faculty of Civil Engineering Environmental and Geodetic Sciences

Abstract

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.

Publisher

STEF92 Technology

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