1. Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.
2. Agrawal, A., Gans, J., & Goldfarb, A. (2022). Power and prediction: The disruptive economics of artificial intelligence. Harvard Business Review Press.
3. Barazzetti, L., Banfi, F., Brumana, R., Previtali, M., & Roncoroni, F. (2016). BIM FROM LASER SCANS… NOT JUST FOR BUILDINGS: NURBS-BASED PARAMETRIC MODELING OF A MEDIEVAL BRIDGE. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III–5, 51–56. DOI: 10.5194/isprsannals-III-5-51-2016
4. Boardman, C., Bryan, P., McDougall, L., Reuter, T., Payne, E., Moitinho, V., Rodgers, T., Honkova, J., O’Connor, L., Blockley, C., Andrews, D., Bedford, J., Sawdon, S., Hook, L., Green, R., Price, K., Klÿn, N., & Abbott, M. (2018). 3D Laser Scanning for Heritage. Advice and Guidance on the Use of Laser Scanning in Archaeology and Architecture.
5. Borin, P., & Cavazzini, F. (2019). CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W15, 201–208. DOI: 10.5194/isprs-archives-XLII-2-W15-201-2019
6. Croce, V., Caroti, G., Piemonte, A., De Luca, L., & Véron, P. (2023). H-BIM and Artificial Intelligence: Classification of Architectural Heritage for Semi-Automatic Scan-to-BIM Reconstruction. Sensors, 23(5), 2497. DOI: 10.3390/s23052497
7. de Freitas Bello, V. S., Popescu, C., Blanksvärd, T., & Täljsten, B. (2021). Bridge management systems: Overview and framework for smart management. 1014–1022. DOI: 10.2749/ghent.2021.1014
8. Ioli, F., Pinto, A., & Pinto, L. (2022). UAV PHOTOGRAMMETRY FOR METRIC EVALUATION OF CONCRETE BRIDGE CRACKS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 1025–1032. DOI: 10.5194/isprs-archives-XLIII-B2-2022-1025-2022
9. Jáuregui, D., Tian, Y., & Jiang, R. (2006). Photogrammetry Applications in Routine Bridge Inspection and Historic Bridge Documentation. Transportation Research Record: Journal of the Transportation Research Board, 1958, 24–32. DOI: 10.1177/0361198106195800103
10. Kaewunruen, S., AbdelHadi, M., Kongpuang, M., Pansuk, W., & Remennikov, A. M. (2022). Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation. Sensors, 23(1), 252. DOI: 10.3390/s23010252
11. León-Robles, C., Reinoso-Gordo, J., & González-Quiñones, J. (2019). Heritage Building Information Modeling (H-BIM) Applied to A Stone Bridge. ISPRS International Journal of Geo-Information, 8(3), 121. DOI: 10.3390/ijgi8030121
12. Li, S., Zhang, Z., Lin, D., Zhang, T., & Han, L. (2023). Development of a BIM-based bridge maintenance system (BMS) for managing defect data. Scientific Reports, 13(1), 846. DOI: 10.1038/s41598-023-27924-6
13. Malekloo, A., Ozer, E., AlHamaydeh, M., & Girolami, M. (2022). Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights. Structural Health Monitoring, 21(4), 1906–1955. DOI: 10.1177/14759217211036880
14. Mohammadi, M., Rashidi, M., Mousavi, V., Karami, A., Yu, Y., & Samali, B. (2021). Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study. Remote Sensing, 13(17), 3499. DOI: 10.3390/rs13173499
15. Murphy, M., Mcgovern, E., & Pavía, S. (2011). Historic Building Information Modelling—Adding intelligence to laser and image based surveys of European classical architecture. In International Journal of Photogrammetry and Remote Sensing (Vol. 76). DOI: 10.1016/j.isprsjprs.2012.11.006
16. Osello, A. (A c. Di). (2019). InfraBIM: Il BIM per le infrastrutture. Gangemi.
17. Pritchard, D., Sperner, J., Hoepner, S., & Tenschert, R. (2017). Terrestrial laser scanning for heritage conservation:the Cologne Cathedral documentation project. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W2, 213–220. DOI: 10.5194/isprs-annals-IV-2-W2-213-2017
18. Roggeri, S., Vassena, G., & Tagliabue, L. (2022). SCAN-TO-BIM EFFICIENT APPROACH TO EXTRACT BIM MODELS FROM HIGH PRODUCTIVE INDOOR MOBILE MAPPING SURVEY. Proceedings of International Structural Engineering and Construction, 9. DOI: 10.14455/ISEC.2022.9(1).AAE-16
19. Saback de Freitas Bello, V., Popescu, C., Blanksvärd, T., & Täljsten, B. (2022). Framework for Bridge Management Systems (BMS) Using Digital Twins. In C. Pellegrino, F. Faleschini, M. A. Zanini, J. C. Matos, J. R. Casas, & A. Strauss (A c. Di), Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures (Vol. 200, pp. 687–694). Springer International Publishing. DOI: 10.1007/978-3-030-91877-4_78
20. Saback, V., Popescu, C., Blanksvärd, T., & Täljsten, B. (2022). Asset Management of Existing Concrete Bridges Using Digital Twins and BIM: A State-of-the-Art Literature Review. Nordic Concrete Research, 66(1), 91–111. DOI: 10.2478/ncr-2021-0020
21. Santarsiero, G., Masi, A., Picciano, V., & Digrisolo, A. (2021). The Italian Guidelines on Risk Classification and Management of Bridges: Applications and Remarks on Large Scale Risk Assessments. Infrastructures, 6(8), 111. DOI: 10.3390/infrastructures6080111
22. Sing, M. C. P., Sophie, Y. Y., Chan, K., Liu, H., & Humphrey, R. (2022). Scan-to-BIM technique in building maintenance projects: Practicing quantity take-off. International Journal of Building Pathology and Adaptation. DOI: 10.1108/IJBPA-06-2022-0097
23. Stavroulaki, M. E., Riveiro, B., Drosopoulos, G. A., Solla, M., Koutsianitis, P., & Stavroulakis, G. E. (2016). Modelling and strength evaluation of masonry bridges using terrestrial photogrammetry and finite elements. Advances in Engineering Software, 101, 136–148. DOI: 10.1016/j.advengsoft.2015.12.007
24. Wang, Q., Guo, J., & Kim, M.-K. (2019). An Application Oriented Scan-to-BIM Framework. Remote Sensing, 11(3), 365. DOI: 10.3390/rs11030365
25. Woodward, R., CULLINGTON, D., DALY, A., VASSIE, P., HAARDT, P., KASHNER, R., ASTUDILLO, R., VELANDO, C., Godart, B., & Cremona, C. (2001). BRIDGE MANAGEMENT IN EUROPE (BRIME)-DELIVERABLE D14-FINAL REPORT.
26. Zinno, R., Haghshenas, S. S., Guido, G., & VItale, A. (2022). Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art. IEEE Access, 10, 88058–88078. DOI: 10.1109/ACCESS.2022.3199443

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