Technical Papers
Apr 8, 2021

Image-Assisted Total Station Camera Mounting Error Correction Model and Analysis

Publication: Journal of Surveying Engineering
Volume 147, Issue 3

Abstract

Image-assisted total stations (IATSs) have extensive application prospects in astronomic surveys, deformation monitoring, precision engineering surveying, and topographic mapping. During image processing of data, the angle measured by the total station must be analyzed together with the image information, and therefore, camera system errors must be considered in addition to the systematic errors of the total station. Systematic errors of total stations can be eliminated or reduced by calibration. However, there is a lack of effective methods for the correction of the camera system errors. We analyzed the mounting error sources of the camera systems of IATS, constructed a model for the conversion between pixel coordinates and the angle measurements of the total station as well as an error correction model, and analyzed the effects of system mounting errors on the angle measurements. We also determined the effects of camera system mounting errors on the angle measurements using celestial objects. The results show that if both the horizontal and vertical components of the coaxiality error are assumed to be 2″ and the elevation angle is 50°, the errors of the horizontal and vertical angles can reach 3·0″ and 2·0″, respectively. These errors must be corrected for on-ground precision measurements of the astronomical longitude, latitude, and orientation, which require a precision of 0.1″.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, specifically the κ value (19  mgon, 61.56″) from Ehrhart and Lienhart (2017).

Acknowledgments

This research is funded by the National Natural Science Foundation of China (Nos. 41604011 and 11673076). The authors would like to thank Editage (www.editage.cn) for English language editing.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 147Issue 3August 2021

History

Received: Sep 1, 2020
Accepted: Feb 4, 2021
Published online: Apr 8, 2021
Published in print: Aug 1, 2021
Discussion open until: Sep 8, 2021

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Authors

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Houtian Zhang [email protected]
Ph.D. Student, Geospatial Information Institute, Information Engineering Univ., Zhengzhou 450001, China; Lecturer, Dept. of Civil Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China. Email: [email protected]; [email protected]
Chonghui Li, Ph.D. [email protected]
Lecturer, Geospatial Information Institute, Information Engineering Univ., Zhengzhou 450001, China; Postdoctoral Researcher, State Key Laboratory of Geo-information Engineering, Xi’an 710054, China (corresponding author). Email: [email protected]; [email protected]
Professor, Geospatial Information Institute, Information Engineering Univ., Zhengzhou 450001, China. Email: [email protected]

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