3-D objects motion estimation based on Kalman Filter and BSP Tree Models for Robot Stereo Vision

• Autorzy: Lippiello V. , Siciliano B. , Villani L.
• Języki publikacji: EN

Abstrakty

EN

The problem of the real time estimation of the position and orientation of moving objects for position-based visual servoing control of robotic systems is considered in this paper. A computationally efficient algorithm is proposed based on Kalman filtering of the visual measurements of the position of suitable feature points selected on the target objects. The efficiency of the algorithm is improved by adopting a pre-selection technique of the feature points, based on Binary Space Partitioning (BSP) tree geometric models of the target objects, which takes advantage of the Kalman folter prediction capability. Computer simulations are presented to test the performance of the estimation algorithm in the presence of noise, different types of lens geometric distortion, quantization and calibration errors.

Słowa kluczowe

EN

vision; robot manipulators; visual servoing; visual tracking; Kalman filter; Binary Space Partitioning tree

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2002
• Tom: Vol. 12, no. 1/2
• Strony: 71--88
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Lippiello V.

• PRISMA Lab. Dipartimento di Informatica e Sistematica Universita degli studi di Napoli Federico II, Napoli, Italy

autor

Siciliano B.

• PRISMA Lab. Dipartimento di Informatica e Sistematica Universita degli studi di Napoli Federico II, Napoli, Italy

autor

Villani L.

• PRISMA Lab. Dipartimento di Informatica e Sistematica Universita degli studi di Napoli Federico II, Napoli, Italy

Bibliografia

• [1] S. Hutchinson, G.D. Hager and P.I. Corke: A tutorial on visual servo control. IEEE Trans. on Robotics and Automation, 12 (1996), 651-670.
• [2] J.W. Wilson: Relative end-effector control using cartesian position based visual servoing. IEEE Trans. on Robotics and Automation, 12 (1996), 684-696.
• [3] B. Espiau, F. Chaumette and P. Rives: A new approach to visual servoing in robotics. IEEE Trans. on Robotics and Automation, 8 (1992), 313-326.
• [4] J. Wang and J.W. Wilson: 3D relative position and orientation estimation using Kalman filter for robot control. IEEE Int. Conf. on Robotics and Automation, (1992), 2638-2645.
• [5] J.T. Feddema, C.S.G. Lee and O.R. Mitchell: Weighted selection of image features for resolved rate visual feedback control. IEEE Trans. on Robotics and Automation, 7 (1991), 31-47.
• [6] F. Janabi-Sharifi and W.J. Wilson: Automatic selection of image features for visual servoing. IEEE Trans. on Robotics and Automation, 13 (1997), 890-903.
• [7] V. Lippiello, B. Siciliano and L. Villani: Position and orientation estimation based on Kalman filtering of stereo images. IEEE Int. Conf. on Control Applications, Mexico City, MEX, (2001), 702-707.
• [8] M. Paterson and F. Yao: Efficient binary space partitions for hidden-surface removal and solid modeling. Discrete and Computational Geometry, 5 (1990), 485-503.
• [9] J. Weng, P. Cohen and M. Herniou: Camera calibration with distortion models and accuracy evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 14 (1992), 965-980.
• [10] V. Lippiello: Architetture, algoritmi di calibrazione e tecniche di stima dello stato per un sistema asservito in visione. Laurea thesis, (in Italian), (2000).
• [11] L. Sciavicco and B. Siciliano: Modelling and Control of Robot Manipulators. 2nd Ed., Springer-Verlag, London, 2000.