FEASIBILITY AND ACCURACY OF AS-BUILT MODELLING FROM SLAM-BASED POINT CLOUDS: PRELIMINARY RESULTS

Abstract. Nowadays, portable Mobile Mapping Systems (MMSs) and robotic mapping platforms leveraging on Simultaneous Localization (SLAM) methods are gaining increasing attention for architectural construction surveying, representing an efficient solution geometric data acquisition scan-to-BIM purposes. However, the applicability of standard modelling workflows accuracy Building Information Models (BIM) that can be obtained from SLAM-based point clouds is still open question. In this paper, we propose a preliminary evaluation feasibility extracting as-built BIM (i) cloud acquired with commercial MMS, (ii) through open-source SLAM algorithm, surveying environment autonomous mobile platform. both cases, main structural elements test site accurately generated, thus showing promising results. On other hand, experiment highlights also need systems capable providing less noisy clouds, in order to capture model details.