  Building Information Modeling (BIM) is increasingly used in the construction
industry, but existing studies often ignore embedded rebars. Ground Penetrating
Radar (GPR) provides a potential solution to develop as-built BIM with surface
elements and rebars. However, automatically translating rebars from GPR into
BIM is challenging since GPR cannot provide any information about the scanned
element. Thus, we propose an approach to link GPR data and BIM according to
Faster R-CNN. A label is attached to each element scanned by GPR for capturing
the labeled images, which are used with other images to build a 3D model.
Meanwhile, Faster R-CNN is introduced to identify the labels, and the
projection relationship between images and the model is used to localize the
scanned elements in the 3D model. Two concrete buildings is selected to
evaluate the proposed approach, and the results reveal that our method could
accurately translate the rebars from GPR data into corresponding elements in
BIM with correct distributions.
