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2018 | OriginalPaper | Chapter

Towards Visual SLAM with Memory Management for Large-Scale Environments

Authors : Fu Li, Shaowu Yang, Xiaodong Yi, Xuejun Yang

Published in: Advances in Multimedia Information Processing – PCM 2017

Publisher: Springer International Publishing

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Abstract

Memory consumption of visual SLAM systems grows rapidly with their operation ranges increase. A well-designed organization scheme of map data is important for the scalability of visual SLAM in large-scale environments. In this paper, we present a novel visual SLAM system with an efficient memory management method to manage the map data using a spatial database. Experimental results on two popular public datasets demonstrate the efficiency and accuracy of our system.

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Footnotes
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Metadata
Title
Towards Visual SLAM with Memory Management for Large-Scale Environments
Authors
Fu Li
Shaowu Yang
Xiaodong Yi
Xuejun Yang
Copyright Year
2018
Book
Advances in Multimedia Information Processing – PCM 2017

Print ISBN: 978-3-319-77382-7

Electronic ISBN: 978-3-319-77383-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-77383-4_76