Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos

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Jun 12, 2021
Matthew Gadd, Daniele De Martini, Paul Newman
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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.

* to be presented at the Workshop on Radar Perception for All-Weather Autonomy at the IEEE International Conference on Robotics and Automation (ICRA) 2021  
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