ABSTRACT
Traditional surveys in the built environment are time-consuming and usually result in enormous amounts of data that are difficult to manage and contain biases. Therefore, BIM modeling of both geometries and related information leads to inconsistent and incomplete models. Alternatively, preliminary BIM models result overly detailed. In both scenarios, the models must be reworked later slowing down the design process. The proposed methodology combines point cloud surveying technique, photogrammetry, and BIM within a game engine platform to define a workflow for an incremental model semantic enrichment that leads to an augmented BIM environment. The case study prototype allows stepwise accurate integration of detailed BIM objects by easing positioning them in the scene in accordance with the overlapped aligned images. This approach provides a way to enrich the BIM model only when required avoiding reworks, reducing working time and costs.
