Visual Place Recognition: A Tutorial

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dc.contributor.authorSchubert, S.
dc.contributor.authorNeubert, P.
dc.contributor.authorGarg, S.
dc.contributor.authorMilford, M.
dc.contributor.authorFischer, T.
dc.date.issued2024
dc.descriptionDate of publication: 22 September 2023
dc.description.abstractLocalization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a goal. A rapidly growing field of research in this area is visual place recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images.
dc.description.statementofresponsibilityStefan Schubert, Peer Neubert, Sourav Garg, Michael Milford, and Tobias Fischer
dc.identifier.citationIEEE Robotics and Automation magazine, 2024; 31(3):2-16
dc.identifier.doi10.1109/mra.2023.3310859
dc.identifier.issn1070-9932
dc.identifier.issn1558-223X
dc.identifier.orcidGarg, S. [0000-0001-6068-3307]
dc.identifier.urihttps://hdl.handle.net/2440/139965
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.granthttp://purl.org/au-research/grants/arc/FL210100156
dc.rights© 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. 2 For more information, see https://creativecommons.org/licenses/by/4.0/
dc.source.urihttps://doi.org/10.1109/mra.2023.3310859
dc.subjectSimultaneous localization and mapping; Tutorials; Visualization; Pipelines; Global navigation satellite system; Robots; History
dc.titleVisual Place Recognition: A Tutorial
dc.typeJournal article
pubs.publication-statusPublished

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