Contrastive learning for unsupervised radar place recognition
We present a method for unsupervised learning of single-scan radar embeddings from sequences of radar images that is suitable for solving the place recognition problem with complex radar data. Our method is based on invariant instance feature learning but is tailored for the task of re-localisation...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2022
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