SCAN-TO-BIM METHODOLOGY ADAPTED FOR DIFFERENT APPLICATION

15 citations as recorded by crossref.

1. Features of information modeling of cultural heritage objects V. Badenko et al. 10.1088/1757-899X/890/1/012062
2. An HBIM Methodology for the Accurate and Georeferenced Reconstruction of Urban Contexts Surveyed by UAV: The Case of the Castle of Charles V A. Sanseverino et al. 10.3390/rs14153688
3. Investigating the barriers to laser scanning implementation in building refurbishment U. Uotila et al. 10.36680/j.itcon.2021.014
4. As-built BIM in real estate management: the change of paradigm in digital transformation of economy N. Bolshakov et al. 10.1088/1757-899X/940/1/012017
5. Generating Topologically Consistent BIM Models of Utility Tunnels from Point Clouds L. Yang et al. 10.3390/s23146503
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7. Automatic Classification and Coding of Prefabricated Components Using IFC and the Random Forest Algorithm Z. Xu et al. 10.3390/buildings12050688
8. From Scans to Parametric BIM: An Enhanced Framework Using Synthetic Data Augmentation and Parametric Modeling for Highway Bridges L. Yang et al. 10.1061/JCCEE5.CPENG-5640
9. Scanning Technologies to Building Information Modelling: A Review R. Rashdi et al. 10.3390/infrastructures7040049
10. Digital Strategies to Enhance Cultural Heritage Routes: From Integrated Survey to Digital Twins of Different European Architectural Scenarios S. Parrinello & F. Picchio 10.3390/drones7090576
11. Digital Asset in the System of Real Estate Management N. Bolshakov et al. 10.1051/e3sconf/202126304039
12. Classification of material and surface roughness using polarimetric multispectral LiDAR Y. Han et al. 10.1117/1.OE.62.11.114104
13. The use of laser scanners in geodetic support of the construction of mining industrial enterprises D. Novoselov 10.33764/2618-981X-2022-1-104-112
14. Using Dynamo for Automatic Reconstruction of BIM Elements from Point Clouds G. Rocha & L. Mateus 10.3390/app14104078
15. A Survey of Scan-to-BIM Practices in the AEC Industry—A Quantitative Analysis G. Rocha & L. Mateus 10.3390/ijgi10080564