Image processing techniques in vision-based robot navigation

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/133619

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.contributor.author	Munguía Alcalá, Rodrigo Francisco
dc.contributor.author	Bolea Monte, Yolanda
dc.contributor.author	Grau Saldes, Antoni
dc.date	2019
dc.identifier.citation	Munguia, R.F.; Bolea, Y.; Grau, A. Image processing techniques in vision-based robot navigation. A: International Conference on Control, Artificial Intelligence, Robotics and Optimization. "2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 171-176.
dc.identifier.citation	978-1-5386-9576-0
dc.identifier.citation	10.1109/ICCAIRO.2018.00036
dc.identifier.uri	http://hdl.handle.net/2117/133619
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8698399
dc.relation	info:eu-repo/grantAgreement/ES/1PE/DPI2016-78957-R
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Automatic control
dc.subject	Image processing
dc.subject	computer vision
dc.subject	robot navigation
dc.subject	image processing
dc.subject	Control automàtic
dc.subject	Imatges -- Processament
dc.title	Image processing techniques in vision-based robot navigation
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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.
dc.description.abstract	Peer Reviewed

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