The week's pick
Reseach Article
Overcoming Singularity of Euler Angles in Robot Pose Estimation using Axis Rotation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 128 - Number 5 |
| Year of Publication: 2015 |
| Authors: Mohammad Ehab Ragab |
10.5120/ijca2015906429
|
Mohammad Ehab Ragab . Overcoming Singularity of Euler Angles in Robot Pose Estimation using Axis Rotation. International Journal of Computer Applications. 128, 5 ( October 2015), 6-12. DOI=10.5120/ijca2015906429
Abstract
In this paper, the singularity of Euler angles rotation representation in robot pose estimation is overcome. This is accomplished through coordinate system rotating and sign-adjusting of the intrinsic parameter camera matrices. A stereo pair is attached to the robot and the extended Kalman filter is used as a recursive pose estimator. An extensive set of synthetic and real experiments have been carried out under various motion patterns in both singular and nonsingular settings. The approach has proved accurate in face of singularity and stable during Jacobian calculations as well.
References
- N. Elfadil, S. A. Aljahdali, and M. Moawad, “System for communicating a vehicle position and speed during accident”, International Journal of Computer Applications ,Volume 94 , No. 19, (May 2014), 13-18
- A.B.M. K. Hassan, and E. Zahir,” Optimizing the turning velocity in a line follower robot”, International Journal of Computer Applications , Volume 117, No. 3, ( May 2015), 14-17
- I. Sa, and H. S. Ahn, “Visual 3D model-based tracking toward autonomous live sports broadcasting using a VTOL unmanned aerial vehicle in GPS-impaired environments”, International Journal of Computer Applications, Volume 122 , No. 7, (July 2015), 1-7
- Yang, M., Yu, Q., Wang H., and Zhang B. 2004. Vision based real-time pose estimation for intelligent vehicles. In Proceedings of the Intelligent Vehicle Symposium.
- A. Chiuso, P. Favaro, H. Jain, and S. Soatto, “Structure from motion causally integrated over time”, IEEETransactions on Pattern Recognition and Machine Intelligence, Volume 24, No. 4, (April 2002), 523-535.
- A. Azarbayejani, and A. P. Pentland, “Recursive estimation of motion, structure, and focal length”, IEEE Transactions on Pattern Recognition and Machine Intelligence, Volume 17, No. 6, (June 1995), 562-575.
- Lippiello, V., Sciliano, B., and Villani, L. 2001. Position and orientation estimation based on Kalman filtering of stereo images. In Proceedings of the IEEE International Conference on Control Applications
- M. E. Ragab, K.H. Wong, “Rotation within camera projection matrix using Euler angles, quaternions and angle-axes”, ACTA Press International Journal of Robotics and Automation, Volume 24, No. 4, (Dec. 2009), 312-318.
- Faugeras, O. and Luong, Q. T. 2001 The Geometry of Multiple Images. MIT Press.
- Hartley, R. and Zisserman, A. 2003 Multiple View Geometry in Computer Vision. Cambridge University Press.
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