Semi-Automated BIM Reconstruction of Full-Scale Space Frames with Spherical and Cylindrical Components Based on Terrestrial Laser Scanning

As-built building information modeling (BIM) model has gained more attention due to its increasing applications in construction, operation, and maintenance. Although methods for generating the as-built BIM from laser scanning data have been proposed, few studies were focused on full-scale structures. To address this issue, study proposes a semi-automated effective approach generate space frame structure with terrestrial data, including large-scale point cloud (PCD) registration, PCD segmentation, geometric parameters estimation. In particular, an coarse-to-fine registration method was developed based sphere targets oriented bounding box. Then, novel extracting structures proposed voxelization algorithm random sample consensus (RANSAC) algorithm. Next, efficient cylindrical components presented detected targets. The is shown be reliable through application of actual