Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
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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 when using just the nearest database candidate.
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