Accuracy assessment of Mavic 3 industrial UAV based on DJI Terra and Pix4Dmapper

Chenyan Tan; Zijun Chen; Ailin Liao; Zijun Chen; Xintian Zeng

doi:10.1117/12.3035344

10 July 2024 Accuracy assessment of Mavic 3 industrial UAV based on DJI Terra and Pix4Dmapper

Chenyan Tan, Zijun Chen, Ailin Liao, Zijun Chen, Xintian Zeng

Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 1322321 (2024) https://doi.org/10.1117/12.3035344
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China

Abstract

Mapping accuracy is crucial in determining the quality of unmanned aerial vehicle (UAV) photogrammetric results, and empirical research is necessary before large-scale applications for the newly released UAVs. Based on DJI Terra and Pix4Dmapper, the absolute and relative positioning accuracy of the Mavic 3 industrial UAV was verified and analyzed in detail using real-time kinematic (RTK) equipment. The results show that: (1) In RTK mode and no ground control points (GCPs), the output images of the two platforms can meet the requirements of 1:500 large-scale mapping accuracy. The absolute/relative positioning error did not surpass 0.05 m/0.15 m in horizontal and vertical directions. Additional GCPs could not have distinctly improved the absolute positioning accuracy. (2) Pix4Dmapper outperforms DJI Terra regarding mapping accuracy but is inferior to the latter in processing efficiency. The results can serve as a reference for large-scale mapping tasks based on the DJI Mavic 3 Enterprise Series.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenyan Tan, Zijun Chen, Ailin Liao, Zijun Chen, and Xintian Zeng "Accuracy assessment of Mavic 3 industrial UAV based on DJI Terra and Pix4Dmapper", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 1322321 (10 July 2024); https://doi.org/10.1117/12.3035344

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KEYWORDS

Unmanned aerial vehicles

Accuracy assessment

Photogrammetry

Image processing

Photography

Cameras

Error analysis

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