TY - CHAP
T1 - A novel vision-based approach for autonomous space navigation systems
AU - Carozza, Ludovico
AU - Bevilacqua, Alessandro
AU - Gherardi, Alessandro
PY - 2009
Y1 - 2009
N2 - Determining the attitude of a satellite is a crucial problem in autonomous space navigation. Actual systems exploit ensemble of sensors, also relying on star trackers, that recover the attitude of a satellite through matching part of the sky map with a star atlas stored on board. These are very complex systems that even suffer for Sun and Moon blinding. In this work we assess the feasibility to use a novel stand-alone system relying on a camera looking at the Earth. The satellite attitude is recovered through the parameters extracted from the registration of the image pairs acquired while orbiting. The experiments confirms that the accuracy of our approach is fully compliant with the application requirements.
AB - Determining the attitude of a satellite is a crucial problem in autonomous space navigation. Actual systems exploit ensemble of sensors, also relying on star trackers, that recover the attitude of a satellite through matching part of the sky map with a star atlas stored on board. These are very complex systems that even suffer for Sun and Moon blinding. In this work we assess the feasibility to use a novel stand-alone system relying on a camera looking at the Earth. The satellite attitude is recovered through the parameters extracted from the registration of the image pairs acquired while orbiting. The experiments confirms that the accuracy of our approach is fully compliant with the application requirements.
U2 - 10.1007/978-3-642-10520-3_80
DO - 10.1007/978-3-642-10520-3_80
M3 - Chapter (peer-reviewed)
SN - 978-3-642-10519-7
VL - 5876
T3 - Lecture Notes in Computer Science
SP - 837
EP - 846
BT - Advances in Visual Computing
PB - Springer
T2 - 5th International Symposium on Visual Computing
Y2 - 30 November 2009 through 2 December 2009
ER -