Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target

The present study primarily discusses the perturbance error indeterminacy that is caused by anisotropic and correlated non-identical gray distribution of feature points in vision measurement for space target pose parameters. On that basis, an expedited algorithm that involves perturbance affine term...

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Autores principales:	Guiyang Zhang, Ju Huo, Ming Yang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Vision measurement pose estimation statistical objective function EIPAT algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7677318320f543a3ba2bf653f5526c76
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spelling	oai:doaj.org-article:7677318320f543a3ba2bf653f5526c762021-11-19T00:04:32ZExpedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target2169-353610.1109/ACCESS.2020.3015978https://doaj.org/article/7677318320f543a3ba2bf653f5526c762020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9165745/https://doaj.org/toc/2169-3536The present study primarily discusses the perturbance error indeterminacy that is caused by anisotropic and correlated non-identical gray distribution of feature points in vision measurement for space target pose parameters. On that basis, an expedited algorithm that involves perturbance affine term based on the novel statistical objective function is proposed. By invoking the inverse covariance matrix to model a novel data space, the pose estimation algorithm based on projection vector is capable of reducing the effect of different levels of disturbance error on the measured results, as well as effectively avoiding the poor or non-convergence attributed to data degradation. Furthermore, the repeated calculation is avoided by coupling each iteration, which significantly simplifies the computation. As a consequence, the calculation complexity of each iteration decreases from <inline-formula> <tex-math notation="LaTeX">$O(n)$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$O$ </tex-math></inline-formula>(1), and the expediting process is implemented significantly. Lastly, as revealed from the experimental results, the calculation efficiency is improved by 3.3 times, and the maximum measured error of the space target attitude is less than 0.1°. Compared with the conventional methods, the proposed algorithm exhibits the effectively promoted speed-ability, precision and indeterminacy attenuation performance, suggesting that the proposed approach should have promising practical applications in deep-space target capture.Guiyang ZhangJu HuoMing YangIEEEarticleVision measurementpose estimationstatistical objective functionEIPAT algorithmElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 148952-148967 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vision measurement pose estimation statistical objective function EIPAT algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Vision measurement pose estimation statistical objective function EIPAT algorithm Electrical engineering. Electronics. Nuclear engineering TK1-9971 Guiyang Zhang Ju Huo Ming Yang Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
description	The present study primarily discusses the perturbance error indeterminacy that is caused by anisotropic and correlated non-identical gray distribution of feature points in vision measurement for space target pose parameters. On that basis, an expedited algorithm that involves perturbance affine term based on the novel statistical objective function is proposed. By invoking the inverse covariance matrix to model a novel data space, the pose estimation algorithm based on projection vector is capable of reducing the effect of different levels of disturbance error on the measured results, as well as effectively avoiding the poor or non-convergence attributed to data degradation. Furthermore, the repeated calculation is avoided by coupling each iteration, which significantly simplifies the computation. As a consequence, the calculation complexity of each iteration decreases from <inline-formula> <tex-math notation="LaTeX">$O(n)$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$O$ </tex-math></inline-formula>(1), and the expediting process is implemented significantly. Lastly, as revealed from the experimental results, the calculation efficiency is improved by 3.3 times, and the maximum measured error of the space target attitude is less than 0.1°. Compared with the conventional methods, the proposed algorithm exhibits the effectively promoted speed-ability, precision and indeterminacy attenuation performance, suggesting that the proposed approach should have promising practical applications in deep-space target capture.
format	article
author	Guiyang Zhang Ju Huo Ming Yang
author_facet	Guiyang Zhang Ju Huo Ming Yang
author_sort	Guiyang Zhang
title	Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
title_short	Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
title_full	Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
title_fullStr	Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
title_full_unstemmed	Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target
title_sort	expedited pose estimation algorithm involving perturbance affine term based on projection vector for space target
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/7677318320f543a3ba2bf653f5526c76
work_keys_str_mv	AT guiyangzhang expeditedposeestimationalgorithminvolvingperturbanceaffinetermbasedonprojectionvectorforspacetarget AT juhuo expeditedposeestimationalgorithminvolvingperturbanceaffinetermbasedonprojectionvectorforspacetarget AT mingyang expeditedposeestimationalgorithminvolvingperturbanceaffinetermbasedonprojectionvectorforspacetarget
_version_	1718420675039854592

Expedited Pose Estimation Algorithm Involving Perturbance Affine Term Based on Projection Vector for Space Target

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