Design of an orbit determination computer for AI autonomous navigation

Design of an orbit determination computer for AI autonomous navigation

Aurel Zeqaj

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Abstract. In the context of the growing demand for autonomous navigation solutions able to reduce the cost of a space mission, the DeepNav project, financed by ASI, has the objective to develop a navigation subsystem relaying solely on the use of onboard assets, e.g. optical images, artificial intelligence algorithms and an Extended Kalman Filter, to perform the navigation of a CubeSat around minor celestial bodies. This manuscript describes the work performed at University of Bologna in the context of the project, in particular for the development of an orbit determination computer, which uses an estimation filter to reconstruct the trajectory of the spacecraft taking as input the optical observables previously processed by the artificial intelligence algorithms.

EKF, DeepNav, Navigation, Autonomous

Published online 9/1/2023, 7 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Aurel Zeqaj, Design of an orbit determination computer for AI autonomous navigation, Materials Research Proceedings, Vol. 33, pp 262-268, 2023


The article was published as article 38 of the book Aerospace Science and Engineering

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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