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Image processing techniques in vision-based robot navigation
dc.contributor.author | Munguía Alcalá, Rodrigo Francisco |
dc.contributor.author | Bolea Monte, Yolanda |
dc.contributor.author | Grau Saldes, Antoni |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-05-29T08:16:21Z |
dc.date.issued | 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.isbn | 978-1-5386-9576-0 |
dc.identifier.uri | http://hdl.handle.net/2117/133619 |
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.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Automatic control |
dc.subject.lcsh | Image processing |
dc.subject.other | computer vision |
dc.subject.other | robot navigation |
dc.subject.other | image processing |
dc.title | Image processing techniques in vision-based robot navigation |
dc.type | Conference report |
dc.subject.lemac | Control automàtic |
dc.subject.lemac | Imatges -- Processament |
dc.contributor.group | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
dc.identifier.doi | 10.1109/ICCAIRO.2018.00036 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8698399 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 24467550 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/DPI2016-78957-R |
dc.date.lift | 10000-01-01 |
local.citation.author | Munguia, R.F.; Bolea, Y.; Grau, A. |
local.citation.contributor | International Conference on Control, Artificial Intelligence, Robotics and Optimization |
local.citation.publicationName | 2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) |
local.citation.startingPage | 171 |
local.citation.endingPage | 176 |