Automating Point Cloud to BIM Transformation Using Intelligent Algorithms
Building Information Modeling (BIM) has revolutionized the architecture, engineering, and construction (AEC) industry, but the process of creating BIM models from unstructured point cloud data remains highly manual and time-consuming. Traditional methods rely on complex segmentation and calibration techniques, often requiring significant user intervention. Cloud2BIM introduces a breakthrough by automating this transformation process through advanced algorithms that segment walls, slabs, openings, and rooms, delivering a fully automated and accurate workflow for BIM model generation. Background and Motivation The rapid growth of 3D laser scanning and photogrammetry technologies has enabled the collection of detailed geometric data of buildings. However, converting this raw, unstructured point cloud data into usable BIM models continues to be a major challenge due to irregular geometries, noise, and the need for manual processing. The motivation behind Cloud2BIM lies in overcoming thes...