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dc.contributor.authorMunguía Alcalá, Rodrigo Francisco
dc.contributor.authorBolea Monte, Yolanda
dc.contributor.authorGrau Saldes, Antoni
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-05-29T08:16:21Z
dc.date.issued2019
dc.identifier.citationMunguia, 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.isbn978-1-5386-9576-0
dc.identifier.urihttp://hdl.handle.net/2117/133619
dc.description.abstractMotivated 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.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshAutomatic control
dc.subject.lcshImage processing
dc.subject.othercomputer vision
dc.subject.otherrobot navigation
dc.subject.otherimage processing
dc.titleImage processing techniques in vision-based robot navigation
dc.typeConference report
dc.subject.lemacControl automàtic
dc.subject.lemacImatges -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents
dc.identifier.doi10.1109/ICCAIRO.2018.00036
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8698399
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac24467550
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2016-78957-R
dc.date.lift10000-01-01
local.citation.authorMunguia, R.F.; Bolea, Y.; Grau, A.
local.citation.contributorInternational Conference on Control, Artificial Intelligence, Robotics and Optimization
local.citation.publicationName2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)
local.citation.startingPage171
local.citation.endingPage176


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