Variational Bayesian Approach to Condition-Invariant Feature Extraction for Visual Place Recognition

As mobile robots perform long-term operations in large-scale environments, coping with perceptual changes becomes an important issue recently. This paper introduces a stochastic variational inference and learning architecture that can extract condition-invariant features for visual place recognition...

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Autors principals:	Junghyun Oh, Gyuho Eoh
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-09-01
Col·lecció:	Applied Sciences
Matèries:	place recognition localization deep learning mobile robots auto-encoder SLAM
Accés en línia:	https://www.mdpi.com/2076-3417/11/19/8976
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