Analysis on the optical axis error of the spherical shell in the electro-optical system

Wu, Fan; Li, Sensen; Zhu, Haibo; An, Chaowei; Cai, Jun; Du, Pengfei; Wang, Chunhong; Cui, Xiaona; Yan, Xiusheng

doi:10.1016/j.ijleo.2018.04.093

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…According to Bayes' theorem in (6), to obtain the maximum posteriori estimate of w, p(w|X, Y), we should maximize the p(Y|X, w), as obtained in (8). To simplify the computation, the log marginal likelihood is often used [17]…”

Section: Parameter Selectionmentioning

confidence: 99%

“…In reference [7], a pointing error model caused by the machining errors and installation errors of ground based telescope is established, and a simulated annealing algorithm is used to correct the parameters of pointing error model to improve the detection accuracy. Reference [8] considered the detection and the launch system with different wavelength, the error between the detection and the launch was analysed and the relationship was calculated. Meanwhile, the semiparametric model has also been widely used for pointing accuracy improvement, which is built on the parametric model.…”

Section: Introductionmentioning

confidence: 99%

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Pointing error compensation of electro-optical detection systems using Gaussian process regression

Tang

Yang

Wang

et al. 2021

Int. J. Metrol. Qual. Eng.

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Pointing accuracy is an important indicator for electro-optical detection systems, as it significantly affects the system performance. However, as a result of misalignment, nonperpendicularity in the manufacturing and assembly processes, as well as the sensor errors such as camera distortion and angular sensor error, the pointing accuracy is significantly affected. These errors should be compensated before using the system. Parametric models are firstly proposed to compensate for the errors, whilst the semi-parametric models with the nonlinearity added are also put forward. Both methods should analyse the parametric part first, which is a complicated and inaccurate process. This paper presents a nonparametric model, without any prior information about mechanical dimensions, etc. It depends only on the test data. Gaussian Process regression is used to represent the relationship between data and predict the compensated output. The test results have shown that the regression variances have decreased by more than an order of magnitude, and the means have also been significantly reduced, with the pointing error well improved. The nonparametric model based on Gaussian Process is thus demonstrated to be an effective and powerful tool for the pointing error compensation.

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Section: Parameter Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pointing error compensation of electro-optical detection systems using Gaussian process regression

Tang

Yang

Wang

et al. 2021

Int. J. Metrol. Qual. Eng.

View full text Add to dashboard Cite

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Analysis and Compensation of Installation Perpendicularity Error in Unmanned Surface Vehicle Electro-Optical Devices by Using Sea–Sky Line Images

Zheng

Chen

et al. 2023

JMSE

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As an important sensor of an unmanned surface vehicle (USV), an electro-optical device is usually used to detect ships and obstacles in USV autonomous navigation and collision avoidance. However, the installation perpendicularity error of the electro-optical device greatly impacts the line-of-sight (LOS) stability control. This error is difficult to eliminate through mechanical calibration because the platform inertial navigation axis cannot be led out. This study aims to establish the model for the perpendicularity error of electro-optical devices during circumferential scanning and analyze its impact on the stability of LOS. In addition, we present a measurement technique for perpendicularity errors utilizing sea–sky line images. Through this method, we find an error function of LOS elevation angle, which is a convex function that can quickly search out high-precision perpendicularity errors step by step. Finally, we measured and compensated the perpendicularity error according to experimental data collected by the electro-optical device. The findings of this research demonstrate that the suggested approach can efficiently mitigate low-frequency disruptions and minor amplitude high-frequency vibrations of LOS in the elevation direction. As a result, it considerably enhances the precision of stability and image observation effect of electro-optical devices.

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Analysis on the optical axis error of the spherical shell in the electro-optical system

Cited by 2 publications

References 9 publications

Pointing error compensation of electro-optical detection systems using Gaussian process regression

Pointing error compensation of electro-optical detection systems using Gaussian process regression

Analysis and Compensation of Installation Perpendicularity Error in Unmanned Surface Vehicle Electro-Optical Devices by Using Sea–Sky Line Images

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