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...
Main Authors: | Gadd, M, De Martini, D, Newman, P |
---|---|
格式: | Conference item |
语言: | English |
出版: |
IEEE
2021
|
相似书籍
-
Contrastive learning for unsupervised radar place recognition
由: Gadd, M, et al.
出版: (2022) -
Look around you: sequence-based radar place recognition with learned rotational invariance
由: Gadd, M, et al.
出版: (2020) -
Open-RadVLAD: fast and robust radar place recognition
由: Gadd, M, et al.
出版: (2024) -
Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance
由: Yuan, J, et al.
出版: (2023) -
Kidnapped radar: topological radar localisation using rotationally-invariant metric learning
由: Gadd, M, et al.
出版: (2020)