Point Cloud Data Semantization for Parametric Scan-to-HBIM Modeling Procedures

This contribution describes research on point cloud metric data analysis and systematization of the procedures underlying Scan-to-HBIM modeling operations. This methodological protocol has been developed on the case study of Fraccaro University Residence in the historical center of Pavia. The parametric acquisition, drawing, and modeling practices were complemented by a reiterated process of verifying the metric reliability and adherence of the model to the 3D database, obtained through the combination of photogrammetric, TLS, and SLAM technology. The study deals with the different data collection methods, experimenting with an integrated survey logic for the definition of a three-dimensional database, delving into the management and sharing to illustrate a procedural process oriented towards shared parametric modeling. Namely, the metric accuracy of the proposed method was assessed using a comparative analysis of the data quality of the 3D point clouds obtained from photogrammetric processes, mobile systems, and fixed measurement systems. The research aims to define a common graphic language for the model categories capable of describing and conveying the architectural complex. If, on the one hand, the tendency is to match the digital model as closely as possible to the real object, on the other hand, the synthesis of complexity is founded on the criteria of shape approximation and imperfection limitation for the sake of standardization of the formal components of the built environment.