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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Hlavní autoři:	Junghyun Oh, Gyuho Eoh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-09-01
Edice:	Applied Sciences
Témata:	place recognition localization deep learning mobile robots auto-encoder SLAM
On-line přístup:	https://www.mdpi.com/2076-3417/11/19/8976
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