A novel vision-based approach for autonomous space navigation systems

Ludovico Carozza, Alessandro Bevilacqua, Alessandro Gherardi

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

4 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationAdvances in Visual Computing
Subtitle of host publication5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30-December 2, 2009. Proceedings, Part II
PublisherSpringer
Pages837-846
Number of pages10
Volume5876
ISBN (Electronic)978-3-642-10520-3
ISBN (Print)978-3-642-10519-7
DOIs
Publication statusPublished - 2009
Event5th International Symposium on Visual Computing - Las Vegas, United States
Duration: 30 Nov 20092 Dec 2009

Publication series

Name Lecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5876
ISSN (Print)0302-9743

Conference

Conference5th International Symposium on Visual Computing
Abbreviated titleISVC09
CountryUnited States
CityLas Vegas
Period30/11/092/12/09

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    Carozza, L., Bevilacqua, A., & Gherardi, A. (2009). A novel vision-based approach for autonomous space navigation systems. In Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30-December 2, 2009. Proceedings, Part II (Vol. 5876, pp. 837-846). ( Lecture Notes in Computer Science ; Vol. 5876). Springer. https://doi.org/10.1007/978-3-642-10520-3_80