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/).
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 -