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Improved Virtual Landmark Approximation for Belief-Space Planning
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering. Totalförsvarets forskningsinstitut (FOI).
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6957-2603
2021 (English)In: Proceedings of 2021 IEEE 24th International Conference on Information Fusion (FUSION), IEEE, 2021, p. 813-820Conference paper, Published paper (Refereed)
Abstract [en]

A belief-space planning problem for GNSS-denied areas is studied where the location and number of landmarks available are unknown when performing the planning. To be able to plan an informative path in this situation, an algorithm using virtual landmarks to position the platform during the planning phase is studied.  The virtual landmarks are selected to capture the expected information available in different regions of the map, based on the beforehand known landmark density. The main contribution of this work is a better approximation of the obtained information from the virtual landmarks and a theoretical study of the properties of the approximation. Furthermore, the proposed approximation, in itself and its use in a path planner, is investigated with successful results.

Place, publisher, year, edition, pages
IEEE, 2021. p. 813-820
Keywords [en]
Belief-Space Planning, Extended Information Filter (EIF), Virtual Landmarks, WASP_publications
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-183192DOI: 10.23919/FUSION49465.2021.9626933ISI: 000869154400107ISBN: 9781737749714 (electronic)ISBN: 9781665414272 (print)OAI: oai:DiVA.org:liu-183192DiVA, id: diva2:1640730
Conference
2021 IEEE 24th International Conference on Information Fusion (FUSION), Sun City, South Africa, November 1-4, 2021
Note

Funding: Swedish Defence Research Agency (FOI) - Swedish Armed Forces

Available from: 2022-02-25 Created: 2022-02-25 Last updated: 2024-02-01

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Hendeby, GustafAxehill, Daniel

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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Output format
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