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Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

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Bibliographic Details
Published in:Advanced Intelligent Systems
Format: Online Article RSS Article
Published: 2026
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container_title Advanced Intelligent Systems
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:47949
institution FRELIP
journal_source_facet Advanced Intelligent Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
— — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
subject_facet — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
title Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_auth Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_full Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_fullStr Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_full_unstemmed Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_short Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints
title_sort visual and visual‐inertial slam based on enhanced deep learning features and motion smoothness constraints
topic — — — — — — Artificial Intelligence
Computer Science & IT
Engineering & Technology
url https://advanced.onlinelibrary.wiley.com/doi/10.1002/aisy.202501455?af=R