PSI - Issue 78

Mario Graniero et al. / Procedia Structural Integrity 78 (2026) 1040–1047

1047

Sensing and Spatial Information Sciences - ISPRS Archives, International Society for Photogrammetry and Remote Sensing, pp. 165 – 171. https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-165-2021 Kršák, B., Blišťan, P., Pauliková, A., Puškárová, P., Kovanič, L., Palková, J., Zelizňaková, V., 2016. Use of low -cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Meas. J. Int. Meas. Confed. 91, 276 – 287. https://doi.org/10.1016/j.measurement.2016.05.028 Li, C., Lyu, H., 2022. Study on Seismic Risk Exposure and Vulnerability of Buildings in Southwest China Based on AI Technology. J. Phys. Conf. Ser. 2185, 012049. https://doi.org/10.1088/1742-6596/2185/1/012049 Nex, F., Duarte, D., Steenbeek, A., Kerle, N., 2019. Towards real-time building damage mapping with low-cost UAV solutions. Remote Sens. 11. https://doi.org/10.3390/rs11030287 Nex, F., Remondino, F., 2014. UAV for 3D mapping applications: A review. Appl. Geomat. 6, 1 – 15. https://doi.org/10.1007/s12518-013-0120-x Ngeljaratan, L., Bas, E.E., Moustafa, M.A., 2024. Unmanned Aerial Vehicle-Based Structural Health Monitoring and Computer Vision-Aided Procedure for Seismic Safety Measures of Linear Infrastructures. Sensors 24, 1450. https://doi.org/10.3390/s24051450 Nooralishahi, P., Ibarra-Castanedo, C., Deane, S., López, F., Pant, S., Genest, M., Avdelidis, N.P., Maldague, X.P.V., 2021. Drone-Based Non Destructive Inspection of Industrial Sites: A Review and Case Studies. Drones 5, 106. https://doi.org/10.3390/drones5040106 Remondino, F., Barazzetti, L., Nex, F., Scaioni, M., Sarazzi, D., 2012. UAV photogrammetry for mapping and 3D modeling – current status and future perspectives. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. XXXVIII-1-C22, 25 – 31. https://doi.org/10.5194/isprsarchives XXXVIII-1-C22-25-2011 Rossi, P.P., Spinella, N., Recupero, A., 2023. Experimental application of the Italian guidelines for the risk classification and management and for the safety evaluation of existing bridges. Structures 58, 105387. https://doi.org/10.1016/j.istruc.2023.105387 Sun, J., Yuan, G., Song, L., Zhang, H., 2024. Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review. Drones 8, 30. https://doi.org/10.3390/drones8010030 Sun, Z., Chen, T., Meng, X., Bao, Y., Hu, L., Zhao, R., 2023. A Critical Review for Trustworthy and Explainable Structural Health Monitoring and Risk Prognosis of Bridges with Human-In-The-Loop. Sustainability 15, 6389. https://doi.org/10.3390/su15086389 Utomo, W., Bhaskara, P.W., Kurniawan, A., Juniastuti, S., Yuniarno, E.M., 2020. Traffic Congestion Detection Using Fixed-Wing Unmanned Aerial Vehicle (UAV) Video Streaming Based on Deep Learning, in: CENIM - Proceeding: Int. Conf. Comput. Eng., Network, Intell. Multimed. Presented at the CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020, Institute of Electrical and Electronics Engineers Inc., pp. 234 – 238. https://doi.org/10.1109/CENIM51130.2020.9297921 Xu, X., Chen, A., Xu, G., Yang, C., Lam, W.H.K., 2021. Enhancing network resilience by adding redundancy to road networks. Transp. Res. Part E Logist. Transp. Rev. 154. https://doi.org/10.1016/j.tre.2021.102448 Zhao, Z.-H., Sun, H., Zhang, N.-X., Xing, T.-H., Cui, G.-H., Lai, J.-X., Liu, T., Bai, Y.-B., He, H.-J., 2024. Application of unmanned aerial vehicle tilt photography technology in geological hazard investigation in China. Nat. Hazards 120, 11547 – 11578. https://doi.org/10.1007/s11069-024 06611-3