Monocular Visual Simultaneous Localization and Mapping: (R)Evolution From Geometry to Deep Learning-Based Pipelines

With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM) algorithms toward developing different modules trained as end-to-end pipelines. However, regardless of the implementation domain, visual SLAM's performance is subject to diverse...

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Veröffentlicht in:	IEEE transactions on artificial intelligence Jg. 5; H. 5; S. 1990 - 2010
Hauptverfasser:	Alvarez-Tunon, Olaya, Brodskiy, Yury, Kayacan, Erdal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2024
Schlagworte:	Cameras Deep learning Feature extraction Optimization Pipelines robot vision systems Simultaneous localization and mapping Surveys visual odometry Visualization
ISSN:	2691-4581, 2691-4581
Online-Zugang:	Volltext
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