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Improved Virtual Landmark Approximation for Belief-Space Planning
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten. Totalförsvarets forskningsinstitut (FOI).
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-1971-4295
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-6957-2603
2021 (engelsk)Inngår i: Proceedings of 2021 IEEE 24th International Conference on Information Fusion (FUSION), IEEE, 2021, s. 813-820Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE, 2021. s. 813-820
Emneord [en]
Belief-Space Planning, Extended Information Filter (EIF), Virtual Landmarks, WASP_publications
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-183192DOI: 10.23919/FUSION49465.2021.9626933ISI: 000869154400107ISBN: 9781737749714 (digital)ISBN: 9781665414272 (tryckt)OAI: oai:DiVA.org:liu-183192DiVA, id: diva2:1640730
Konferanse
2021 IEEE 24th International Conference on Information Fusion (FUSION), Sun City, South Africa, November 1-4, 2021
Merknad

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

Tilgjengelig fra: 2022-02-25 Laget: 2022-02-25 Sist oppdatert: 2024-02-01

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Hendeby, GustafAxehill, Daniel

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