Deep Learning Techniques for Visual SLAM : a Survey

Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment. Traditional VSLAM methods involve the laborious hand...

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Bibliographic Details
Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Mokssit, Saad, Licea, Daniel Bonilla, Guermah, Bassma, Ghogho, Mounir
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01-01-2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Active learning Deep learning Estimation Feature extraction Joint learning Learning systems Location awareness Robot sensing systems Robots Simultaneous localization and mapping Survey Taxonomies Taxonomy Visual odometry Visual SLAM Visual tasks Visualization
Online Access:	Get full text
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