Image processing techniques in vision-based robot navigation

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Title:	Image processing techniques in vision-based robot navigation
Author:	Munguía Alcalá, Rodrigo Francisco; Bolea Monte, Yolanda; Grau Saldes, Antoni
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
Abstract:	Motivated by the problems of vision-based mobile robot map building and localization, we present a comparative study of statistical methods for matching image features in a wide base line between learning and recognition phases. A general methodology called feature-class method for the problem of fast matching image features in a wide base line is described in the context of mobile robots. The objective of this work is to discuss and to show the performance of such methods in an example of visual SLAM, with experiments done with real data.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Automatic control -Image processing -computer vision -robot navigation -image processing -Control automàtic -Imatges -- Processament
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Conference Object
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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