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

A. Durand Petiteville, M. Courdesses, V. Cadenat

2010

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.

Paper Citation

in Harvard Style

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, pages 268-274. DOI: 10.5220/0002948902680274

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Durand Petiteville A.
AU - Courdesses M.
AU - Cadenat V.
PY - 2010
SP - 268
EP - 274
DO - 10.5220/0002948902680274