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State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation

In order to realize state estimation for axisymmetric targets and improve the accuracy and robustness of state estimation, a state estimation method for axisymmetric targets based on beacon linear features and view relation is proposed in this paper. The depth camera is used to collect the image and...

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Detalles Bibliográficos
Autores principales: Cao, Xiaohua, Peng, Shuaiyu, Liu, Daofan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434406/
https://www.ncbi.nlm.nih.gov/pubmed/34502641
http://dx.doi.org/10.3390/s21175750
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author Cao, Xiaohua
Peng, Shuaiyu
Liu, Daofan
author_facet Cao, Xiaohua
Peng, Shuaiyu
Liu, Daofan
author_sort Cao, Xiaohua
collection PubMed
description In order to realize state estimation for axisymmetric targets and improve the accuracy and robustness of state estimation, a state estimation method for axisymmetric targets based on beacon linear features and view relation is proposed in this paper. The depth camera is used to collect the image and depth information of the object, and the features of the beacon line are extracted by the thinning process and Hough transform. Then, the rotation matrix model based on view relation is constructed to solve the target state. Finally, an axisymmetric shore power plug is taken as the experimental object and the L–V (linear features and view relation) state estimation method is compared with the C–H and C–IPPE state estimation methods. The experimental results show that the L–V state estimation method has higher accuracy and robustness.
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spelling pubmed-84344062021-09-12 State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation Cao, Xiaohua Peng, Shuaiyu Liu, Daofan Sensors (Basel) Article In order to realize state estimation for axisymmetric targets and improve the accuracy and robustness of state estimation, a state estimation method for axisymmetric targets based on beacon linear features and view relation is proposed in this paper. The depth camera is used to collect the image and depth information of the object, and the features of the beacon line are extracted by the thinning process and Hough transform. Then, the rotation matrix model based on view relation is constructed to solve the target state. Finally, an axisymmetric shore power plug is taken as the experimental object and the L–V (linear features and view relation) state estimation method is compared with the C–H and C–IPPE state estimation methods. The experimental results show that the L–V state estimation method has higher accuracy and robustness. MDPI 2021-08-26 /pmc/articles/PMC8434406/ /pubmed/34502641 http://dx.doi.org/10.3390/s21175750 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Xiaohua
Peng, Shuaiyu
Liu, Daofan
State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title_full State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title_fullStr State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title_full_unstemmed State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title_short State Estimation of Axisymmetric Target Based on Beacon Linear Features and View Relation
title_sort state estimation of axisymmetric target based on beacon linear features and view relation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434406/
https://www.ncbi.nlm.nih.gov/pubmed/34502641
http://dx.doi.org/10.3390/s21175750
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AT pengshuaiyu stateestimationofaxisymmetrictargetbasedonbeaconlinearfeaturesandviewrelation
AT liudaofan stateestimationofaxisymmetrictargetbasedonbeaconlinearfeaturesandviewrelation