Star-tracker algorithm for smartphones and commercial micro-drones

Revital Marbel; Boaz Ben-Moshe; Roi Yozevitch

doi:10.3390/s20041106

Star-tracker algorithm for smartphones and commercial micro-drones

Revital Marbel, Boaz Ben-Moshe, Roi Yozevitch

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, UAVs, and micro-drones using commercial-off-the-shelf (COTS) 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 COTS 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°].

Original language	English
Article number	1106
Journal	Sensors (Switzerland)
Volume	20
Issue number	4
DOIs	https://doi.org/10.3390/s20041106
State	Published - 1 Feb 2020
Externally published	Yes

Keywords

Accurate orientation for autonomous robotics
Global orientation sensor
Star tracker algorithm

ASJC Scopus subject areas

Analytical Chemistry
Information Systems
Atomic and Molecular Physics, and Optics
Biochemistry
Instrumentation
Electrical and Electronic Engineering

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10.3390/s20041106

Cite this

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title = "Star-tracker algorithm for smartphones and commercial micro-drones",

abstract = "This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, UAVs, and micro-drones using commercial-off-the-shelf (COTS) 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 COTS 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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AU - Marbel, Revital

AU - Ben-Moshe, Boaz

AU - Yozevitch, Roi

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N2 - This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, UAVs, and micro-drones using commercial-off-the-shelf (COTS) 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 COTS 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°].

AB - This paper presents a star-tracking algorithm to determine the accurate global orientation of autonomous platforms such as nano satellites, UAVs, and micro-drones using commercial-off-the-shelf (COTS) 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 COTS 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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Star-tracker algorithm for smartphones and commercial micro-drones

Abstract

Keywords

ASJC Scopus subject areas

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