Manifold Regularization Graph Structure Auto-Encoder to Detect Loop Closure for Visual SLAM

Manifold Regularization Graph Structure Auto-Encoder to Detect Loop Closure for Visual SLAM

Loop closure detection plays a vital role in the visual simultaneous localization and mapping (SLAM) systems. In order to overcome the shortcomings of the artificial design algorithm to extract insufficient features, this paper proposes a graph-regularization stacked denoising auto-encoder (G-SDAE)...

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Bibliographic Details
Main Authors: Zhonghua Wang, Zhen Peng, Yong Guan, Lifeng Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
SLAM
stacked denoising auto-encoder
loop closure
manifold learning
Online Access:https://ieeexplore.ieee.org/document/8706943/

Internet

https://ieeexplore.ieee.org/document/8706943/

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