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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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°]. |
format | Online Article Text |
id | pubmed-7070887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT marbelrevital startrackeralgorithmforsmartphonesandcommercialmicrodrones AT benmosheboaz startrackeralgorithmforsmartphonesandcommercialmicrodrones AT yozevitchroi startrackeralgorithmforsmartphonesandcommercialmicrodrones |