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Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos

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arxiv 2106.06703 v1 pith:IL5RRYB6 submitted 2021-06-12 cs.CV cs.RO

Matthew Gadd , Daniele De Martini , Paul Newman This is my paper · ORCID
classification cs.CVcs.RO
keywords radardataembeddingplacerecognitionunsupervisedapproachescandidate
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We learn, in an unsupervised way, an embedding from sequences of radar images that is suitable for solving place recognition problem using complex radar data. We experiment on 280 km of data and show performance exceeding state-of-the-art supervised approaches, localising correctly 98.38% of the time when using just the nearest database candidate.

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