Pose Prediction Based on ECV Visual System Using Kalman Filter

• Autorzy: Kozioł, P. , Miatliuk, K. , Buch, A. G. , Kruger, N.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a study which uses an early cognitive vision system for model-based pose estimation of an object in motion. The estimated poses are processed by a Kalman filter which makes robotic manipulation possible. Results from a simulated robot environment are given.

Słowa kluczowe

EN

pose estimation; Kalman filter; early cognitive vision system

• Czasopismo: Machine Dynamics Research
• Rocznik: 2011
• Tom: Vol. 35, No. 3
• Strony: 37-45
• Opis fizyczny: Bibliogr. 6 poz., wykr.

Twórcy

autor

Kozioł, P.

autor

Miatliuk, K.

autor

Buch, A. G.

autor

Kruger, N.

• Białystok University of Technology,

Bibliografia

• Pugeault, N., Wörgötter, F., Krüger, N., 2010, Visual Primitives: Local, Condensed, and Semantically Rich Visual Descriptors and their Applications in Robotics, International Journal of Humanoid Robotics (Special Issue on Cognitive Humanoid Vision), 7, 3, 379-405.
• Kozioł, P., 2011, Grasping the known moving object, Master Thesis, Białystok University of Technology, Poland.
• Kraft, D., Pugeault, Ni., Baseski, E., Popovic, M., Kragic, D., Krüger, N., Wörgötter, F., 2008 (January 18), Birth of the Object: Detection of Objectness and Extraction of Object Shape through Object Action Complexes.
• Kjaer-Nielsen, A., Buch, A. G., Kryger Jensen, A. E., Moller, B., Kraft, D., Krüger, N., Petersen, H. G. and Ellekilde, L-P., 2011, Ring on the Hook: Placing a Ring on a Moving and Pendulating Hook Based on Visual Input, Robot: An Industrial International Journal, 38, 3, 301-314.
• Fischler, M. A. & Bolles, R. C., 1981, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM, 24, 6, 381-395.
• RobWork software, 2010, available at: http://www.robwork.dk/jrobwork/.