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dc.contributor.authorPumarola Peris, Albert
dc.contributor.authorVakhitov, A.
dc.contributor.authorAgudo Martínez, Antonio
dc.contributor.authorSanfeliu Cortés, Alberto
dc.contributor.authorMoreno-Noguer, Francesc
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2017-11-10T12:40:54Z
dc.date.available2017-11-10T12:40:54Z
dc.date.issued2017
dc.identifier.citationPumarola, A., Vakhitov, A., Agudo, A., Sanfeliu, A., Moreno-Noguer, F. PL-SLAM: real-time monocular visual SLAM with points and lines. A: IEEE International Conference on Robotics and Automation. "2017 ICRA IEEE International Conference on Robotics and Automation". IEEE Press, 2017, p. 4503-4508.
dc.identifier.urihttp://hdl.handle.net/2117/110259
dc.description© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractLow textured scenes are well known to be one of the main Achilles heels of geometric computer vision algorithms relying on point correspondences, and in particular for visual SLAM. Yet, there are many environments in which, despite being low textured, one can still reliably estimate line-based geometric primitives, for instance in city and indoor scenes, or in the so-called
dc.format.extent6 p.
dc.language.isoeng
dc.publisherIEEE Press
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.othercomputer vision
dc.subject.otherfeature extraction
dc.subject.othermobile robots
dc.subject.otherSLAM
dc.titlePL-SLAM: real-time monocular visual SLAM with points and lines
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents
dc.identifier.doi10.1109/ICRA.2017.7989522
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7989522/
dc.rights.accessOpen Access
local.identifier.drac21561027
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/644271/EU/AErial RObotic system integrating multiple ARMS and advanced manipulation capabilities for inspection and maintenance/AEROARMS
local.citation.authorPumarola, A.; Vakhitov, A.; Agudo, A.; Sanfeliu, A.; Moreno-Noguer, F.
local.citation.contributorIEEE International Conference on Robotics and Automation
local.citation.publicationName2017 ICRA IEEE International Conference on Robotics and Automation
local.citation.startingPage4503
local.citation.endingPage4508


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