Method for visual localization of oil and gas wellhead based on distance function of projected features-Reference-Cited by-同舟云学术

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Method for visual localization of oil and gas wellhead based on distance function of projected features

Published:2017-03-04 Issue:2 Volume:14 Page:147-158
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Xie Ying,Yang Xiang-Dong,Liu Zhi,Ren Shu-Nan,Chen Ken

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-017-1063-1.pdf

Reference20 articles.

1. J. H. Su, H. Qiao, Z. C. Ou, Z. Y. Liu. Vision-based caging grasps of polyhedron-like workpieces with a binary industrial gripper. IEEE Transactions on Automation Science and Engineering, vol. 12, no. 3, pp. 1033–1046, 2015.

2. F. Zhou, W. Zheng, Z. F. Wang. Adaptive noise identification in vision-assisted motion estimation for unmanned aerial vehicles. International Journal of Automation and Computing, vol. 12, no. 4, pp. 413–420, 2015.

3. C. L. Wang, T. M. Wang, J. H. Liang, Y. C. Zhang, Y. Zhou. Bearing-only visual SLAM for small unmanned aerial vehicles in GPS-denied environments. International Journal of Automation and Computing, vol. 10, no. 5, pp. 387–396, 2013.

4. L. Wang, J. F. Cao, C. Z. Han. Superquadrics modelbased 3D object localization algorithm. Robot, vol. 35, no. 4, pp. 439–448, 2013. (in Chinese)

5. M. Y. Liu, O. Tuzel, A. Veeraraghavan, Y. Taguchi, T. K. Marks, R. Chellappa. Fast object localization and pose estimation in heavy clutter for robotic bin picking. The International Journal of Robotics Research, vol. 31, no. 8, pp. 951–973, 2012.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tracking Registration Algorithm for Augmented Reality Based on Template Tracking;International Journal of Automation and Computing;2019-09-13

2. Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency;International Journal of Automation and Computing;2018-05-24

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