A learning distributed Gaussian process approach for target tracking over sensor networks

Liu, X., Lyu, C., George, J. et al. (2 more authors) (2022) A learning distributed Gaussian process approach for target tracking over sensor networks. In: Proceedings of the 2022 25th International Conference on Information Fusion (FUSION). 2022 25th International Conference on Information Fusion (FUSION), 04-07 Jul 2022, Linköping, Sweden. Institute of Electrical and Electronics Engineers . ISBN 9781665489416

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. This accepted manuscript version is available under a Creative Commons Attribution CC BY licence. (http://creativecommons.org/licenses/by/4.0)
Keywords: Distributed Tracking; Gaussian Process Methods; Product of Experts; Sensor Networks; Uncertainty Quantification
Dates:
  • Accepted: 3 May 2022
  • Published (online): 9 August 2022
  • Published: 9 August 2022
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:
FunderGrant number
US Army Research Laboratoryn/a
UK MOD University Defence Research Collaboration (UDRC)n/a
Engineering and Physical Sciences Research CouncilEP/T013265/1
Depositing User: Symplectic Sheffield
Date Deposited: 01 Jun 2022 13:32
Last Modified: 01 Sep 2022 10:49
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.23919/FUSION49751.2022.9841315
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