Aerial laser scanning offers several distinct advantages compared to traditional surveying techniques. It operates with remarkable speed, provides superior measurement accuracy, and ensures safety, especially when assessing inaccessible or hazardous areas. This method is particularly beneficial for surveying transportation infrastructure, as it eliminates the need to disrupt or restrict traffic flow. In view of the great popularity of the introduction of aerial laser scanning methods, using UAV technology, the question of assessing the quality of these data arises. The aim of the work is to study and compare quality the point clouds of three-level railway bridge obtained by two UAV laser scanning systems. The experiment was conducted using CloudCompare software. As an input data for the analysis, point clouds of the three-level railway bridge near the city of Częstochowa, Poland obtained by GreenValley LiAIR V70 and RIEGL miniVUX-1UAV were used. The study was focusing on the analysis of point clouds, specifically examining their volume density and Gauss (Normal) distribution.
Gaspari F., Ioli F., Barbieri F., Belcore E., Pinto L. (2022) Integration of UAV-lidar and UAV-photogrammetry for infrastructure monitoring and bridge assessment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLIII-B2-2022. 995-1002. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-995-2022
Li J., Peng Y., Tang Z., Li Z. (2023) Three-Dimensional Reconstruction of Railway Bridges Based on Unmanned Aerial Vehicle–Terrestrial Laser Scanner Point Cloud Fusion. MDPI. Buildings. Vol. 13. Issue 11. https://doi.org/10.3390/buildings13112841
Ostrowski W., Górski K., Pilarska M., Salach A., Bakula K. (2017) Comparison of the laser scanning solutions for he unmanned aerial vehicles. Archive of Photogrammetry, Cartography and Remote Sensing. Vol. 29. 101-123. DOI:10.14681/afkit.2017.008
Al-Adhamia M., Roobleb S., Wu S., Osuna-Yevenes C., Ruby-Lewis V., Greatrix M., Cartagena Y., Talebi S. (2020) An automated approach to digitise railway bridges. Proceedings of the 37th ISARC, Kitakyushu, Japan. 962-968. https://doi.org/10.22260/ISARC2020/0133
Chetverikov B., Różycki S., Malitskyy A., BabiyL. (2024) Application of orthophoto maps created from UAV aerial images for monitoring historical and cultural heritage lands. Journal of Environmental & Earth Sciences. Vol. 06. Issue 02. 144-163. https://journals.bilpubgroup.com/index.php/jees/article/view/6360/5367
Feitosa I., Santos B., Almeida P. (2024) Pavement Inspection in Transport Infrastructures Using Unmanned Aerial Vehicles (UAVs). MDPI. Sustainability. Vol. 16, Issue 5. https://doi.org/10.3390/su16052207
Blaskow R. and Maas H.-G. (2024) Structural Health Monitoring of Bridges with Personal Laser Scanning: Segment-based Analysis of systematic Point Cloud Deformations. ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences. Volume X-2-2024. 9-16. https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, 2024.
Savchyn I., Tretyak K., Brusak I., Lozynskyi V., & Duma M. (2023). Rapid Fixation and Digitization for Cultural Heritage Preservation in Conflict Zones. International Conference of Young Professionals «GeoTerrace-2023». Vol. 2023, No. 1. 1-5). European Association of Geoscientists & Engineers. DOI: 10.3997/2214-4609.2023510030
Hlotov V., Marusazh Kh. (2019) Accuracy investigation of point clouds with Faro Focus 3d S120 terrestrial laser scanner. Geodesy, Cartography and Aerial Photography. Vol. 90, N. 90. 41-49. https://doi.org/10.23939/istcgcap2019.90.041