A Systematic Review of Image-Based Technologies for Detecting As-Is BIM Objects

Author:

Aziz Angelina123,König Markus123,Schulz Jens-Uwe123

Affiliation:

1. Ph.D. Student, Faculty of Civil and Environmental Engineering, Ruhr-Univ. Bochum, Bochum, Germany.

2. Professor, Faculty of Civil and Environmental Engineering, Ruhr-Univ. Bochum, Bochum, Germany.

3. Professor, Detmold School of Architecture and Interior Architecture, Univ. of Applied Sciences and Arts, Detmold, Germany.

Publisher

American Society of Civil Engineers

Reference36 articles.

1. BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images

2. Scan-to-BIM for ‘secondary’ building components

3. BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data.;Amano K.;MATEC Web Conf,2016

4. Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning

5. Bridging BIM and building: From a literature review to an integrated conceptual framework.;Chen K.;Int. J. Constr. Manag,2015

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