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Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones

This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, [Formula: see text] s, and micro-drones using commercial-off-the-shelf ([Formula: see text]) mobile devices such as smartphones. Such star-tracking is especiall...

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Detalles Bibliográficos
Autores principales: Marbel, Revital, Ben-Moshe, Boaz, Yozevitch, Roi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070887/
https://www.ncbi.nlm.nih.gov/pubmed/32085598
http://dx.doi.org/10.3390/s20041106
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author Marbel, Revital
Ben-Moshe, Boaz
Yozevitch, Roi
author_facet Marbel, Revital
Ben-Moshe, Boaz
Yozevitch, Roi
author_sort Marbel, Revital
collection PubMed
description This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, [Formula: see text] s, and micro-drones using commercial-off-the-shelf ([Formula: see text]) mobile devices such as smartphones. Such star-tracking is especially challenging because it is based on existing cameras which capture a partial view of the sky and should work continuously and autonomously. The novelty of the proposed framework lies both in the computational efficiency and the ability of the star-tracker algorithm to cope with noisy measurements and outliers using affordable [Formula: see text] mobile platforms. The presented algorithm was implemented and tested on several popular platforms including: Android mobile devices, commercial-micro drones, and Raspberry Pi. The expected accuracy of the reported orientation is [0.1°,0.5°].
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spelling pubmed-70708872020-03-19 Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones Marbel, Revital Ben-Moshe, Boaz Yozevitch, Roi Sensors (Basel) Article This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, [Formula: see text] s, and micro-drones using commercial-off-the-shelf ([Formula: see text]) mobile devices such as smartphones. Such star-tracking is especially challenging because it is based on existing cameras which capture a partial view of the sky and should work continuously and autonomously. The novelty of the proposed framework lies both in the computational efficiency and the ability of the star-tracker algorithm to cope with noisy measurements and outliers using affordable [Formula: see text] mobile platforms. The presented algorithm was implemented and tested on several popular platforms including: Android mobile devices, commercial-micro drones, and Raspberry Pi. The expected accuracy of the reported orientation is [0.1°,0.5°]. MDPI 2020-02-18 /pmc/articles/PMC7070887/ /pubmed/32085598 http://dx.doi.org/10.3390/s20041106 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marbel, Revital
Ben-Moshe, Boaz
Yozevitch, Roi
Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title_full Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title_fullStr Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title_full_unstemmed Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title_short Star-Tracker Algorithm for Smartphones and Commercial Micro-Drones
title_sort star-tracker algorithm for smartphones and commercial micro-drones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070887/
https://www.ncbi.nlm.nih.gov/pubmed/32085598
http://dx.doi.org/10.3390/s20041106
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