Unsupervised place recognition with deep embedding learning over radar videos
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 ti...
Principais autores: | Gadd, M, De Martini, D, Newman, P |
---|---|
Formato: | Conference item |
Idioma: | English |
Publicado em: |
IEEE
2021
|
Registros relacionados
-
Contrastive learning for unsupervised radar place recognition
por: Gadd, M, et al.
Publicado em: (2022) -
Look around you: sequence-based radar place recognition with learned rotational invariance
por: Gadd, M, et al.
Publicado em: (2020) -
Open-RadVLAD: fast and robust radar place recognition
por: Gadd, M, et al.
Publicado em: (2024) -
Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance
por: Yuan, J, et al.
Publicado em: (2023) -
Kidnapped radar: topological radar localisation using rotationally-invariant metric learning
por: Gadd, M, et al.
Publicado em: (2020)