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

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.