High-speed multi-dimensional relative navigation for uncooperative space objects

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dc.contributor.author Kechagias-Stamatis, Odysseas
dc.contributor.author Aouf, Nabil
dc.contributor.author Richardson, Mark A.
dc.date.accessioned 2019-06-05T15:01:32Z
dc.date.available 2019-06-05T15:01:32Z
dc.date.issued 2019-05-03
dc.identifier.citation Kechagias-Stamatis O, Aouf N, Richardson MA., (2019) High-speed multi-dimensional relative navigation for uncooperative space objects. Acta Astronautica, Volume 160, July 2019, pp. 388-400 en_UK
dc.identifier.issn 0094-5765
dc.identifier.uri https://doi.org/10.1016/j.actaastro.2019.04.050
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/14226
dc.description.abstract This work proposes a high-speed Light Detection and Ranging (LIDAR) based navigation architecture that is appropriate for uncooperative relative space navigation applications. In contrast to current solutions that exploit 3D LIDAR data, our architecture transforms the odometry problem from the 3D space into multiple 2.5D ones and completes the odometry problem by utilizing a recursive filtering scheme. Trials evaluate several current state-of-the-art 2D keypoint detection and local feature description methods as well as recursive filtering techniques on a number of simulated but credible scenarios that involve a satellite model developed by Thales Alenia Space (France). Most appealing performance is attained by the 2D keypoint detector Good Features to Track (GFFT) combined with the feature descriptor KAZE, that are further combined with either the H∞ or the Kalman recursive filter. Experimental results demonstrate that compared to current algorithms, the GFTT/KAZE combination is highly appealing affording one order of magnitude more accurate odometry and a very low processing burden, which depending on the competitor method, may exceed one order of magnitude faster computation. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Multi-dimensional processing en_UK
dc.subject Relative navigation en_UK
dc.subject Spaceborne LIDAR en_UK
dc.subject Uncooperative target en_UK
dc.title High-speed multi-dimensional relative navigation for uncooperative space objects en_UK
dc.type Article en_UK

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