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Multi-sensor data intergration in topographic and as-built surveying of constructions

Bảo Bình Lương , Khôi Trần Phúc Minh

Abstract

This paper presents an overview of modern field surveying instruments and methods, and integrated multi-sensor systems applied in topographic and as-built surveys of civil infrastructure and constructions. Core devices such as total stations, GNSS RTK receivers, aerial imagery from UAVs, LiDAR, terrestrial laser scanners, and echo sounders, as well as multi-sensor integrated systems mounted on UAVs and USVs, are analyzed in terms of technical specifications and application domains. Based on this, the paper proposes a four-step workflow for integrating multi-sensor survey data: data acquisition, data processing, 3D modeling, and spatial visualization on a webGIS platform. This workflow is demonstrated through a case study at the Ba Ria Serece seaport, where UAV, USV, and station-scanner platforms were simultaneously deployed to collect data from the air, land, and underwater environments. The resulting 3D models and data integration on ArcGIS Online confirm the feasibility, high accuracy, and seamless 3D visualization of the surveyed site. The study highlights the potential of multi-sensor integrated systems to support digital transformation in infrastructure surveying, enabling more effective design, monitoring, and asset management on modern GIS platforms.

References

  1. A. Ehrhart, S. Gassner, and F. Holzinger, “Total station based photogrammetry for precise 3D measurements of dynamic processes,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. III-5, pp. 61–68, 2016.
  2. W. Lienhart, D. Lehner, and H. Brunner, “High frequent total station measurements for the monitoring of bridges,” in Proc. Joint Int. Symp. on Deformation Monitoring (JISDM), Vienna, Austria, Mar. 2017.
  3. N. Shen, L. Chen, J. Liu, L. Wang, T. Tao, D. Wu, and R. Chen, “A review of Global Navigation Satellite System (GNSS)-based dynamic monitoring technologies for structural health monitoring,” Remote Sensing, vol. 11, no. 9, p. 1001, 2019.
  4. H. Nguyễn, L. Lê, and V. Nguyễn, “Nghiên cứu ứng dụng công nghệ quét Laser 3D trong xây dựng cơ sở dữ liệu quản lý trật tự xây dựng đô thị,” TNU Journal of Science and Technology, vol. 162, no. 02, pp. 21–25, 2017.
  5. T. H. Hà, “Ứng dụng máy bay không người lái (UAV) trong giám sát chất lượng mặt đường bộ, thí điểm tại một số đoạn trên Quốc lộ 6 thuộc tỉnh Hòa Bình,” HCMUE Journal of Science, vol. 15, no. 9, p. 86, 2020.
  6. H. Lê Văn, N. Lê Minh, and C. Trần Đức, “Nghiên cứu phương pháp tiền xử lý dữ liệu quan trắc liên tục GNSS của cầu dây văng nhiều trụ tháp,” Tạp chí Khoa học Giao thông Vận tải, vol. 75, no. 9, pp. 2345–2355, 2024.
  7. B. Kavanagh and D. K. Slattery, Surveying with Construction Applications, 7th ed. Pearson Higher Ed, 2014.
  8. K. Yu, Theory and Practice of GNSS Reflectometry. Singapore: Springer, 2021.
  9. M. Pepe, A. V. Scuderi, and D. Costantino, “UAV platforms and the SfM-MVS approach in the 3D surveys and modelling: A review in the cultural heritage field,” Applied Sciences, vol. 12, no. 24, p. 12886, 2022.
  10. R. Manish et al., “Image-aided LiDAR mapping platform and data processing strategy for stockpile volume estimation,” Remote Sensing, vol. 14, no. 1, p. 231, 2022.
  11. G. Vosselman and H.-G. Maas, Eds., Airborne and Terrestrial Laser Scanning. Caithness, UK: Whittles Publishing, 2010.
  12. U.S. Army Corps of Engineers, Hydrographic Surveying, Engineer Manual 1110-2-1003. Washington, D.C., USA: Department of the Army, 2013.
  13. Trimble, Trimble SX12 Scanning Total Station – Field Guide, Trimble, 2023.
  14. T. Kersten, J. Wolf, and M. Lindstaedt, “Investigations into the accuracy of the UAV system DJI Matrice 300 RTK with the sensors Zenmuse P1 and L1 in the Hamburg test field,” in Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXIV ISPRS Congress, Nice, France, Jun. 6–11, 2022.
  15. Maritime Robotics, “The Otter.” [Online]. Available: https://www.maritimerobotics.com/otter. [Accessed: May 15, 2025].