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Authors: Vicente Román ; Luis Payá ; Sergio Cebollada ; Adrián Peidró and Óscar Reinoso

Affiliation: Engineering Systems and Automation Department, Miguel Hernandez University, Elche (Alicante), Spain

Keyword(s): Localization, Mobile Robots, Global Appearance Descriptors, Omnidirectional Images.

Abstract: Autonomous robots should be able to carry out localization and map creation in highly heterogeneous zones. In this work, global appearance descriptors are tested to perform the localization task. It focuses on the use of an omnidirectional vision sensor as unique source of information and global appearance to describe the visual information. Global-appearance techniques consist in obtaining a unique vector that describes globally the image. The main objective of this work is to propose and test new alternatives to build and to handle global descriptors. In previous experiments the images have been processed without considering the spatial distribution of the information. In contrast, in this work, the main approach is that relevant information will be in the central rows. For this reason central rows information is given a higher weight comparing to other zones of the image. The results show that this consideration can be an interesting presumption to take into account. The experimen ts are carried out with real images that have been taken in two different heterogeneous environments where simultaneously humans and robots work together. For this reason, variations of the lighting conditions, people who occlude the scene and changes on the furniture may appear. (More)

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Paper citation in several formats:
Román, V.; Payá, L.; Cebollada, S.; Peidró, A. and Reinoso, Ó. (2020). An Evaluation of New Global Appearance Descriptor Techniques for Visual Localization in Mobile Robots under Changing Lighting Conditions. In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-442-8; ISSN 2184-2809, SciTePress, pages 377-384. DOI: 10.5220/0009595603770384

@conference{icinco20,
author={Vicente Román. and Luis Payá. and Sergio Cebollada. and Adrián Peidró. and Óscar Reinoso.},
title={An Evaluation of New Global Appearance Descriptor Techniques for Visual Localization in Mobile Robots under Changing Lighting Conditions},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2020},
pages={377-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009595603770384},
isbn={978-989-758-442-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - An Evaluation of New Global Appearance Descriptor Techniques for Visual Localization in Mobile Robots under Changing Lighting Conditions
SN - 978-989-758-442-8
IS - 2184-2809
AU - Román, V.
AU - Payá, L.
AU - Cebollada, S.
AU - Peidró, A.
AU - Reinoso, Ó.
PY - 2020
SP - 377
EP - 384
DO - 10.5220/0009595603770384
PB - SciTePress

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