Joint sensor scheduling and target tracking with efficient Bayesian optimisation

Liu, X., Lyu, C., Soleymani, S. et al. (2 more authors) (2023) Joint sensor scheduling and target tracking with efficient Bayesian optimisation. In: 2023 Sensor Signal Processing for Defence (SSPD) Proceedings. 2023 Sensor Signal Processing for Defence Conference (SSPD), 12-13 Sep 2023, Edinburgh, Scotland. Institute of Electrical and Electronics Engineers (IEEE) ISBN 979-8-3503-3732-7

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Item Type: Proceedings Paper
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© 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in 2023 Sensor Signal Processing for Defence Conference (SSPD) proceedings is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Active sensing; Bayesian optimisation; factorised Gaussian process; target tracking; sensor management; unmanned aerial vehicles; hierarchical off-diagonal low-rank (HODLR) factorisation
Dates:
  • Published: 22 September 2023
  • Published (online): 22 September 2023
  • Accepted: 23 June 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
UNITED STATES DEPARTMENT OF DEFENSE
UNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 14 Jul 2023 10:50
Last Modified: 11 Oct 2023 08:31
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/SSPD57945.2023.10256951
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