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Authors: A. Durand Petiteville ; M. Courdesses and V. Cadenat

Affiliation: Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, France

Keyword(s): Visual servoing, Visual data estimation, Predictor/estimator pair.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: This papers deals with the problem of estimating the visual features during a vision-based navigation task when a temporary total occlusion occurs. The proposed approach relies on an existent specific algorithm. However, to be efficient, this algorithm requires highly precise initial values for both the image features and their depth. Thus, our objective is to design a predictor/estimator pair able to provide an accurate estimation of the depth value, even when the visual data are noisy. The obtained results show the efficiency and the interest of our technique.

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Paper citation in several formats:
Durand Petiteville, A.; Courdesses, M. and Cadenat, V. (2010). A NEW PREDICTOR/CORRECTOR PAIR TO ESTIMATE THE VISUAL FEATURES DEPTH DURING A VISION-BASED NAVIGATION TASK IN AN UNKNOWN ENVIRONMENT - A Solution for Improving the Visual Features Reconstruction During an Occlusion. In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-8425-01-0; ISSN 2184-2809, SciTePress, pages 268-274. DOI: 10.5220/0002948902680274

@conference{icinco10,
author={A. {Durand Petiteville}. and M. Courdesses. and V. Cadenat.},
title={A NEW PREDICTOR/CORRECTOR PAIR TO ESTIMATE THE VISUAL FEATURES DEPTH DURING A VISION-BASED NAVIGATION TASK IN AN UNKNOWN ENVIRONMENT - A Solution for Improving the Visual Features Reconstruction During an Occlusion},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2010},
pages={268-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002948902680274},
isbn={978-989-8425-01-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - A NEW PREDICTOR/CORRECTOR PAIR TO ESTIMATE THE VISUAL FEATURES DEPTH DURING A VISION-BASED NAVIGATION TASK IN AN UNKNOWN ENVIRONMENT - A Solution for Improving the Visual Features Reconstruction During an Occlusion
SN - 978-989-8425-01-0
IS - 2184-2809
AU - Durand Petiteville, A.
AU - Courdesses, M.
AU - Cadenat, V.
PY - 2010
SP - 268
EP - 274
DO - 10.5220/0002948902680274
PB - SciTePress