Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos

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Abstract

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.

Preprint: https://arxiv.org/abs/2106.06703

Bibtex

@inproceedings{radarvideoembeddings2021,
  author={Matthew Gadd and Daniele De Martini and Paul Newman},
  title={Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos},
  year={2021},
  booktitle={ICRA Workshop on Radar Perception for All-Weather Autonomy},
  url={https://arxiv.org/abs/2106.06703},
}