Improving Point Cloud Accuracy Using a Customized Unmanned Aerial System with a Dual-Frequency GNSS and Post-Processing Kinematic Technology
Publication: Computing in Civil Engineering 2021
ABSTRACT
Construction professionals have started exploring several UAS configurations and techniques to ideally enhance the quality of the UAS-derived point clouds. This study aims at evaluating the factors [i.e., single-frequency GPS (L1), dual-frequency GPS (L1/L2), post-processing kinematic (PPK) georeferencing technique] affecting the accuracy of UAS-derived point clouds. Results showed that the use of a customized UAS that is equipped with dual-frequency GPS (L1/L2) and subject to PPK coordinate correction improved the overall point cloud accuracy. The outcome of this study is expected to benefit both practitioners and researchers in better understanding the effects of the system on the resulting point cloud accuracy.
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REFERENCES
ASPRS. (2015). “Positional Accuracy Standards for Digital Geospatial Data.” Photogrammetric Engineering & Remote Sensing, 81(3), 1–26.
Albeaino, G., Gheisari, M., and Franz, B. W. (2019). “A systematic review of unmanned aerial vehicle application areas and technologies in the AEC domain.” Journal of Information Technology in Construction, 24(July), 381–405.
Bolkas, D. (2019). “Assessment of GCP Number and Separation Distance for Small UAS Surveys with and without GNSS-PPK Positioning.” Journal of Surveying Engineering, 145(3), 1–17.
Datta-Barua, S., Doherty, P. H., Delay, S. H., Dehel, T., and Klobuchar, J. A. (2003). “Ionospheric scintillation effects on single and dual frequency GPS positioning.” Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), 336–346.
DJI. (2017). Phantom 4 Pro/Pro + User Manual. Accessed December 18, 2020.
Eiris, R., Albeaino, G., and Gheisari, M. (2020). “InDrone : Visualizing Drone Flight Patterns for Indoor Building Inspection Tasks inDrone : Visualizing drone flight patterns for indoor.”
Martinez, J. G., Albeaino, G., Gheisari, M., Volkmann, W., and Alarcón, L. F. (2021). “UAS Point Cloud Accuracy Assessment Using Structure from Motion–Based Photogrammetry and PPK Georeferencing Technique for Building Surveying Applications.” Journal of Computing in Civil Engineering, 35(1), 05020004.
Martinez, J. G., Gheisari, M., and Alarcón, L. F. (2020). “UAV Integration in Current Construction Safety Planning and Monitoring Processes: Case Study of a High-Rise Building Construction Project in Chile.” Journal of Management in Engineering, 36(3), 05020005.
Seifert, E., Seifert, S., Vogt, H., Drew, D., van Aardt, J., Kunneke, A., and Seifert, T. (2019). “Influence of drone altitude, image overlap, and optical sensor resolution on multi-view reconstruction of forest images.” Remote Sensing, 11(10).
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Computing in Civil Engineering 2021
Pages: 1033 - 1040
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Published online: May 24, 2022
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