Progress in the Research of Visual SLAM

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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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  -