Space Teleoperation Visual Recognition System Using a Novel Pattern Recognition Technique
- https://doi.org/10.2991/amee-17.2017.46How to use a DOI?
- recognition; teleoperation; hand-eye calibration; camera calibration
A Space Teleoperation Visual Recognition System is developed. It is used to recognize an object and measure the 3D pose. A highly efficient no iterative approach is used to calculator the external parameters in camera calibration. It divides all reference points into 3-point subsets in order to achieve a series of fourth order polynomials. The optimal solution is determined by solving the roots of the derivative of the cost function. Laser tracker is used to measure accurately the coordinate system of the robot, the end of the robot arm and the 3D target, then the hand-eye relation matrix is calculated based on these measurement results and external camera parameters. Then, we propose a novel pattern recognition technique to show how to reduce the dimensionality by utilizing group and convexity model. The performance of this visual system is tested in a space robot prototype.
- © 2017, 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 - Mingming Wang PY - 2017/09 DA - 2017/09 TI - Space Teleoperation Visual Recognition System Using a Novel Pattern Recognition Technique BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017) PB - Atlantis Press SP - 224 EP - 227 SN - 2352-5401 UR - https://doi.org/10.2991/amee-17.2017.46 DO - https://doi.org/10.2991/amee-17.2017.46 ID - Wang2017/09 ER -