Mobile 3D Mapping Using Geodetic Drones and GPS Navigation

Authors

  • Denys Berun National University "Yuri Kondratyuk Poltava Polytechnic" image/svg+xml
  • Maksym Filipets National University "Yuri Kondratyuk Poltava Polytechnic" image/svg+xml
  • Alina Chubakova National University "Yuri Kondratyuk Poltava Polytechnic" image/svg+xml
  • Viktor Virchenko National University "Yuri Kondratyuk Poltava Polytechnic" image/svg+xml

DOI:

https://doi.org/10.26906/znp.2025.65.4208

Keywords:

mapping, geodesy, mobile unmanned aerial vehicles, theodolite, level, GNSS

Abstract

The paper examines current trends in the development of geodetic mapping, with a particular focus on comparing traditional methods with innovative approaches. It is noted that classical techniques, such as the use of theodolites, levels, and GPS receivers – are still widely employed in engineering geodesy, although they present several limitations, including high labor intensity, the need for qualified personnel, and significant time consumption. At the same time, there is growing interest in automated solutions, particularly the use of unmanned aerial vehicles (UAVs), which enable rapid and accurate spatial data acquisition with minimal resource expenditure. The article emphasizes the importance of evaluating the effectiveness of different mapping methods in terms of accuracy, execution speed, and cost-efficiency, which is especially relevant in the context of the rapid development of the engineering and construction sectors.

References

1. Rudenko, L. H. (Ed.). (2019). Current directions of cartography development in Ukraine. Kyiv: Institute of Geography of the National Academy of Sciences of Ukraine.

2. Andrieiev, S., & Zhylyn, V. (2019). Application of aerial photography data from unmanned aerial vehicles for constructing 3D terrain models. Control, Navigation and Communication Systems, 1, 3–16. https://doi.org/10.26906/SUNZ.2019.1.003 DOI: https://doi.org/10.26906/SUNZ.2019.1.003

3. Aftanaziv, I. S., Stotsko, R. Z., Shevchuk, A. O., Strohan, O. I., & Boiko, O. O. (2022). Determination of coordinates and motion parameters of unmanned aerial vehicles. Weapons Systems and Military Equipment, 71(3), 49–59. https://doi.org/10.30748/soivt.2022.71.07 DOI: https://doi.org/10.30748/soivt.2022.71.07

4. Vertehel, S., Vyshniakov, V., Hurelia, V., Slastin, S., Piskun, O., Kharchenko, S., & Moroz, V. (2022). Development of a methodology for creating and updating a cartographic base using satellite images from “SUPER VIEW-1”. Environmental Safety and Natural Resources, 41(1), 89–101. https://doi.org/10.32347/2411-4049.2022.1.89–101 DOI: https://doi.org/10.32347/2411-4049.2022.1.89-101

5. Dankevych, V. Y., & Dankevych, Y. M. (2019). Monitoring of agricultural land using remote sensing systems. Economics of Agro-Industrial Complex, 8, 27–35. https://doi.org/10.32317/2221-1055.201908027 DOI: https://doi.org/10.32317/2221-1055.201908027

6. Shults, R. V. (2012). Theory and practice of terrestrial laser scanning in engineering geodesy tasks. Kyiv: Kyiv National University of Construction and Architecture.

7. Svystun, O. V., Mikhno, P. B., & Shysh, R. H. (2024). Advantages of UAVs in solving applied tasks of geodesy and land management. Kremenchuk Mykhailo Ostrohradskyi National University. https://doi.org/10.32782/2222-5099.2024.13.14 DOI: https://doi.org/10.32782/2222-5099.2024.13.14

8. Yun, H. M., & Medynskyi, D. (2017). Application of unmanned aerial vehicles in agriculture. Science-based technologies, 36(4), 335–341. https://doi.org/10.18372/2310-5461.36.12232 DOI: https://doi.org/10.18372/2310-5461.36.12232

9. Dorozhko, Y., Sytnyk, O., & Kravchuk, M. (2025). Use of unmanned aerial vehicles (UAVs) for high-precision geodesic surveying. Spatial Development, (11), 597–610. https://doi.org/10.32347/2786-7269.2025.11.597-610

Downloads

Published

2025-12-26

How to Cite

Berun, D., Filipets, M., Chubakova, A., & Virchenko, V. (2025). Mobile 3D Mapping Using Geodetic Drones and GPS Navigation. Academic Journal Industrial Machine Building Civil Engineering, 2(65), 134-139. https://doi.org/10.26906/znp.2025.65.4208

Similar Articles

11-20 of 50

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)