A simulation method of accuracy prediction based on axis vector rendezvous for medium and long distance pose measurement

Xiaoli Hu; Minggang Tang; Yu Wang; Yulun Zhang

doi:10.1117/12.2662572

12 April 2023 A simulation method of accuracy prediction based on axis vector rendezvous for medium and long distance pose measurement

Xiaoli Hu, Minggang Tang, Yu Wang, Yulun Zhang

Author Affiliations +

Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 1256524 (2023) https://doi.org/10.1117/12.2662572
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China

Abstract

To reflect the pose measurement reliability under the real measurement track and provide the basis for station layout in advance and post-processing, a closed-loop error analysis method based on line vector pure direction projection and reverse reconstruction is proposed. Firstly, the central axis method is simplified and the key errors are located, according to the process of pose simulation - perspective projection - key parameter error acquisition - central axis reconstruction - pose accuracy acquisition, in this paper the accuracy evaluation method of central axis pose rendezvous measurement with closed-loop feedback establishes is established for the first time. Compared with the traditional partial derivative method, it not only highlights the influence of key parameters, but also is convenient, intuitive and accurate, Moreover, the problem of unknown key parameters is solved. This method provides a reliable theoretical support for station layout test, accuracy prediction and post analysis for range pose measurement.

Citation Download Citation

Xiaoli Hu, Minggang Tang, Yu Wang, and Yulun Zhang "A simulation method of accuracy prediction based on axis vector rendezvous for medium and long distance pose measurement", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 1256524 (12 April 2023); https://doi.org/10.1117/12.2662572

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