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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8434406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT caoxiaohua stateestimationofaxisymmetrictargetbasedonbeaconlinearfeaturesandviewrelation AT pengshuaiyu stateestimationofaxisymmetrictargetbasedonbeaconlinearfeaturesandviewrelation AT liudaofan stateestimationofaxisymmetrictargetbasedonbeaconlinearfeaturesandviewrelation |