@inproceedings{71bd339ed20144098b586121182ea205,
title = "Low cost spacecraft attitude determination for cubesat type missions",
abstract = "We present a method for performing low cost attitude estimation for CubeSat type missions. Our algorithm uses measurements from a custom built sun sensor, a star camera, and inertial measurements. These sensing measurements are supplied in real-time to a Multiplicative Kalman Filter for the purpose of generating continuous attitude estimates. The testing and validation of this algorithm is done in the Land, Air, and Space Robotics Laboratory at Texas A\&M University, using our custom three degrees-of-freedom attitude test-bed interfacing with a suspended target emulation pendulum. The algorithm is implemented using low cost commercial off-the-shelf hardware and open-source libraries for the required vision based localization. This low cost, low power and small-scale attitude estimation technology is ideal for use on CubeSats and ChipSats. Our algorithm is designed to be part of a suite of tools that is currently being developed at the lab for attitude estimation and control.",
author = "Goecks, \{Vinicius Guimaraes\} and Austin Probe and Robyn Woollands and Hurtado, \{John E.\} and Junkins, \{John L.\}",
note = "Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 39th Annual AAS Rocky Mountain Section Guidance and Control Conference, 2016 ; Conference date: 05-02-2016 Through 10-02-2016",
year = "2016",
language = "English (US)",
isbn = "9780877036319",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "57--70",
editor = "Chart, \{David A.\}",
booktitle = "Guidance, Navigation, and Control 2016",
address = "United States",
}