loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: C. Pérez 1 ; N. García 1 ; J. M. Sabater 1 ; J. M. Azorín 1 ; O. Reinoso 1 and L. Gracia 2

Affiliations: 1 Miguel Hernández University, Spain ; 2 Technical University of Valencia, Spain

Keyword(s): Visual servoing, fuzzy systems, vision / image processing, Kalman filter.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation

Abstract: Visual Servoing is an important issue in robotic vision but one of the main problems is to cope with the delay introduced by acquisition and image processing. This delay is the reason for the limited velocity and acceleration of tracking systems. The use of predictive techniques is one of the solutions to solve this problem. In this paper, we present a Fuzzy predictor. This predictor decreases the tracking error compared with the classic Kalman filter (KF) for abrupt changes of direction and can be used for an unknown object’s dynamics. The Fuzzy predictor proposed in this work is based on several cases of the Kalman filtering, therefore, we have named it: Fuzzy Kalman Filter (FKF). The robustness and feasibility of the proposed algorithm is validated by a great number of experiments and is compared with other robust methods.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.37.74

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pérez, C.; García, N.; M. Sabater, J.; M. Azorín, J.; Reinoso, O. and Gracia, L. (2007). IMPROVEMENT OF THE VISUAL SERVOING TASK WITH A NEW TRAJECTORY PREDICTOR - The Fuzzy Kalman Filter. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO; ISBN 978-972-8865-83-2; ISSN 2184-2809, SciTePress, pages 133-140. DOI: 10.5220/0001643201330140

@conference{icinco07,
author={C. Pérez. and N. García. and J. {M. Sabater}. and J. {M. Azorín}. and O. Reinoso. and L. Gracia.},
title={IMPROVEMENT OF THE VISUAL SERVOING TASK WITH A NEW TRAJECTORY PREDICTOR - The Fuzzy Kalman Filter},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO},
year={2007},
pages={133-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001643201330140},
isbn={978-972-8865-83-2},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO
TI - IMPROVEMENT OF THE VISUAL SERVOING TASK WITH A NEW TRAJECTORY PREDICTOR - The Fuzzy Kalman Filter
SN - 978-972-8865-83-2
IS - 2184-2809
AU - Pérez, C.
AU - García, N.
AU - M. Sabater, J.
AU - M. Azorín, J.
AU - Reinoso, O.
AU - Gracia, L.
PY - 2007
SP - 133
EP - 140
DO - 10.5220/0001643201330140
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic