Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

Progress in the Research of Visual SLAM

Authors
Binbin Xu, Pengyuan Liu, Junning Zhang
Corresponding Author
Binbin Xu
Available Online March 2018.
DOI
10.2991/icaita-18.2018.6How to use a DOI?
Keywords
visual odometry; backend optimization; deep learning; loop detection
Abstract

Visual SLAM is the process that a camera sensor is used to locate the body of the motion and build a map of the surrounding environment at the same time. First the types of sensors and the framework of visual SLAM are introduced in this article. And then it introduces the word bag model of visual mileage based on feature point method and direct method, nonlinear optimization of back end and loop detection. Finally the future development expectation is demonstrated.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-496-5
ISSN
1951-6851
DOI
10.2991/icaita-18.2018.6How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Binbin Xu
AU  - Pengyuan Liu
AU  - Junning Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Progress in the Research of Visual SLAM
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 21
EP  - 23
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.6
DO  - 10.2991/icaita-18.2018.6
ID  - Xu2018/03
ER  -