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dc.contributor.authorPaiva Mendes, Ellon
dc.contributor.authorLacroix, Simon
dc.contributor.authorSolà Ortega, Joan
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2017-11-13T16:59:54Z
dc.date.available2017-11-13T16:59:54Z
dc.date.issued2016
dc.identifier.citationPaiva, E., Lacroix, S., Solá, J. Parallax angle parametrization in incremental SLAM. A: International Conference on Control, Automation, Robotics and Vision. "Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on". Phuket: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1-7.
dc.identifier.isbn978-1-5090-3549-6
dc.identifier.urihttp://hdl.handle.net/2117/110509
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.abstractThe lack of depth information in camera images has triggered much work on their use for localization and mapping in robotics. In particular, specific landmark parametrizations that isolate the unknown depth in one variable, and that allows to handle the associated large uncertainties have been proposed. Recently, an innovative parametrization (Parallax Angle) has shown to outperform the others in the context of a Bundle Adjustment approach. This paper investigates the way to exploit this parametrization in an incremental graph-based SLAM approach, in a robotics context in which motions measures can be incorporated in the overall estimation. It presents the factors required to initialize landmarks and manage their observations. Simulation results show that the proposed algorithms are able to incrementally incorporate observations, and a discussion analyzes how the incremental updates on ISAM2 are affected by these new factors.
dc.format.extent7 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::Robòtica
dc.subject.otherrobot vision
dc.subject.otherrobots
dc.titleParallax angle parametrization in incremental SLAM
dc.typeConference report
dc.identifier.doi10.1109/ICARCV.2016.7838805
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation::Robots::Robot vision
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7838805/
dc.rights.accessOpen Access
local.identifier.drac21586128
dc.description.versionPostprint (author's final draft)
local.citation.authorPaiva, E.; Lacroix, S.; Solá, J.
local.citation.contributorInternational Conference on Control, Automation, Robotics and Vision
local.citation.pubplacePhuket
local.citation.publicationNameControl, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on
local.citation.startingPage1
local.citation.endingPage7


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