Improvement of Several Classical Matching Algorithms for Underground Positioning
Authors
Jie Huang, Ziyuan Tong, Shoufeng Tang, Qingyong Liu, Minming Tong, Mingyu Ji
Corresponding Author
Jie Huang
Available Online June 2018.
- DOI
- 10.2991/eame-18.2018.65How to use a DOI?
- Keywords
- mine; binocular stereo vision; matching algorithm; position
- Abstract
It is an urgent task for the coal industry in China and even the world to realize the position of the injured and the excavation equipment under the mine. Due to its advantages of high efficiency, low cost, and suitable accuracy, binocular stereo vision measurement methods have become a popular trend in recent years to achieve dynamic target positioning. The stereo matching problem is a key problem in the binocular stereo vision system. This paper analyzes and improves several classical matching algorithms, and combines the improved algorithms together for positioning research. Finally through simulation experiments, an area adaptive matching algorithm with advantages is obtained.
- 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 - Jie Huang AU - Ziyuan Tong AU - Shoufeng Tang AU - Qingyong Liu AU - Minming Tong AU - Mingyu Ji PY - 2018/06 DA - 2018/06 TI - Improvement of Several Classical Matching Algorithms for Underground Positioning BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 308 EP - 311 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.65 DO - 10.2991/eame-18.2018.65 ID - Huang2018/06 ER -