Loop closure detection in visual appearance-based SLAM using deep autoencoders

Loop closure detection (LCD) and trajectory generation are critical components of visual simultaneous localization and mapping (vSLAM). In this paper, we aim to solve the LCD and trajectory generation problem in vSLAM using a newly devised vector quantization (VQ) algorithm. The proposed new VQ algo...

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Autors principals:	Amir Zarringhalam, Ali Mohades Khorasani, Saeed Shiry Ghidary
Format:	Artigo
Idioma:	Inglês
Publicat:	Amirkabir University of Technology 2026-04-01
Col·lecció:	AUT Journal of Mathematics and Computing
Matèries:	slam deep autoencoder loop closure detection vector quantization
Accés en línia:	https://ajmc.aut.ac.ir/article_5499_d149231f39b05ae135fa763edb358064.pdf
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