APPLICATION OF ARTIFICIAL INTELLIGENCE FOR INTEGRATED PROCESSING OF GNSS AND LiDAR DATA IN MONITORING DEFORMATIONS OF ENGINEERING STRUCTURES
Keywords:
GNSS; LiDAR; deformation monitoring; artificial intelligence; sensor fusion; Uzbekistan..Abstract
Continuous monitoring of structural deformations is critical for infrastructure safety. This review examines the integration of Global Navigation Satellite Systems (GNSS), Light Detection and Ranging (LiDAR), and Artificial Intelligence (AI) for deformation monitoring, focusing on implementation pathways in Uzbekistan. Sensor fusion guided by machine learning achieves sub-millimetre to low-millimetre displacement accuracies with automated anomaly detection..
References
Dzhaksybekov, N., Akhmetov, S., & Seitkali, Y. (2024). Integrated RTK-GNSS and terrestrial laser scanning for hydroelectric dam deformation monitoring: Experience from the Kapchagay reservoir. Geodesy and Cartography (Kazakhstan), 2(1), 14–27.
2. Khasanov, B., & Umarov, F. (2023). Assessment of surface subsidence in Tashkent metropolitan area using Sentinel-1 InSAR time series analysis. Uzbek Journal of Geospatial Sciences, 5(2), 33–44.
3. Mirzayev, A., Nazarov, K., & Tursunov, I. (2022). Modernisation of the Uzbekistan national geodetic reference network and adoption of UzSCS-2024. Journal of Geodesy and Geomatics (Uzbekistan), 9(1), 5–18.
4. Yigit, C. O., Gurlek, E., & Bae, T.-S. (2022). Tightly coupled GNSS/IMU integration for dynamic displacement monitoring of seismically active structures. Measurement, 196, 111243.
5. Zhang, L., Liu, X., & Wang, Y. (2024). LSTM neural networks for predictive displacement monitoring of concrete dams. Structural Health Monitoring, 23(2), 876–894.
6. Zhu, H., Zhang, J., Li, W., & Ouyang, C. (2022). Integrated GNSS–TLS monitoring with LSTM-based fusion for a cable-stayed bridge. Remote Sensing, 14(19), 4783.
