A vision-based approach for high accuracy assessment of satellite attitude

Ludovico Carozza, A. Bevilacqua, A. Gherardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this work we present the achievements of the approach we have conceived to estimate in real time the attitude of a satellite endowed with an integral camera looking to the Earth. We have implemented the dynamical model that describes how to reconstruct the spatial orientation of the camera using couples of subsequent views, passing through six reference frames. An in-depth analysis of the influences on the accuracy of the different sources of error arising when implementing the dynamical model has been carried out, from the theoretical framework to the laboratory prototype. Through these studies we have been able to characterize, and often overcome, the traps hidden at the development stage to propose the first vision based approach to determine with very a high accuracy the attitude of a satellite in a stand-alone system. Although the achievements refer to a classical mission critical application, the methodological approach, the choices accomplished and the results presented are of general interest.
Original languageEnglish
Title of host publicationIEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009
PublisherIEEE
Pages743-750
Number of pages8
ISBN (Electronic)978-1-4244-4441-0
ISBN (Print)978-1-4244-4442-7
DOIs
Publication statusPublished - 2009
Event2009 IEEE 12th International Conference on Computer Vision Workshops - Kyoto, Japan
Duration: 27 Sep 20094 Oct 2009

Conference

Conference2009 IEEE 12th International Conference on Computer Vision Workshops
Abbreviated titleICCV Workshops 2009
CountryJapan
CityKyoto
Period27/09/094/10/09

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  • Cite this

    Carozza, L., Bevilacqua, A., & Gherardi, A. (2009). A vision-based approach for high accuracy assessment of satellite attitude. In IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009 (pp. 743-750). IEEE. https://doi.org/10.1109/ICCVW.2009.5457628