METRIC SURVEY AND BIM TECHNOLOGIES TO RECORD DECAY CONDITIONS

13 citations as recorded by crossref.

1. Detection of damage in heritage constructions based on 3D point clouds. A systematic review L. Sánchez-Aparicio et al. 10.1016/j.jobe.2023.107440
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3. HBIM as Support of Preventive Conservation Actions in Heritage Architecture. Experience of the Renaissance Quadrant Façade of the Cathedral of Seville R. Angulo-Fornos & M. Castellano-Román 10.3390/app10072428
4. Enhancing Building Archaeology: Drawing, UAV Photogrammetry and Scan-to-BIM-to-VR Process of Ancient Roman Ruins C. Stanga et al. 10.3390/drones7080521
5. Deep Learning Enhanced Multisensor Data Fusion for Building Assessment Using Multispectral Voxels and Self-Organizing Maps J. Raimundo et al. 10.3390/heritage7020051
6. Desde la representación hasta el modelo digital HBIM de un edificio histórico complejo G. Bertacchi et al. 10.4995/ega.2023.18606
7. Parametric Processes for the Implementation of HBIM—Visual Programming Language for the Digitisation of the Index of Masonry Quality M. Calvano et al. 10.3390/ijgi11020093
8. Virtual Representations of Cultural Heritage: Sharable and Implementable Case Study to Be Enjoyed and Maintained by the Community C. Bolognesi & F. Fiorillo 10.3390/buildings13020410
9. Semi-automatic classification of digital heritage on the Aïoli open source 2D/3D annotation platform via machine learning and deep learning V. Croce et al. 10.1016/j.culher.2023.05.017
10. Digital Twin and Cloud BIM-XR Platform Development: From Scan-to-BIM-to-DT Process to a 4D Multi-User Live App to Improve Building Comfort, Efficiency and Costs F. Banfi et al. 10.3390/en15124497
11. From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning V. Croce et al. 10.3390/rs13030461
12. Methodology for an HBIM workflow focused on the representation of construction systems of built heritage L. Martinelli et al. 10.1016/j.culher.2022.03.016
13. The need to implement Cultural Heritage Master Plans through the Building Information Modelling methodology J. Liu et al. 10.4995/ege.2022.18597