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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
Descripción
Sumario: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°].