Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/107976
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dc.contributor.authorSalas, M.-
dc.contributor.authorLatif, Y.-
dc.contributor.authorReid, I.-
dc.contributor.authorMontiel, J.-
dc.date.issued2015-
dc.identifier.citationProceedings of Robotics: Science and Systems Workshop: The problem of mobile sensors, 2015, pp.1-3-
dc.identifier.urihttp://hdl.handle.net/2440/107976-
dc.descriptionThe Problem of Mobile Sensors: Setting future goals and indicators of progress for SLAM Workshop in conjunction with RSS 2015-
dc.description.abstractUnder the assumption of identical covariance at each pose, Horn's method finds an aligning transform that is quite similar to the one found using an optimization on the manifold.-
dc.description.statementofresponsibilityMarta Salas, Yasir Latif, Ian D. Reid, J.M.M. Montiel-
dc.language.isoen-
dc.publisherRobotics: Science and Systems-
dc.rightsCopyright status unknown-
dc.source.urihttps://ylatif.github.io/movingsensors/#call-
dc.titleTrajectory alignment and evaluation in SLAM: Horn’s method vs alignment on the manifold-
dc.typeConference paper-
dc.contributor.conferenceRobotics: Science and Systems Workshop: The problem of mobile sensors (RSS 2015) (13 Jul 2015 - 17 Jul 2015 : Rome, Italy)-
dc.relation.granthttp://purl.org/au-research/grants/arc/CE140100016-
dc.relation.granthttp://purl.org/au-research/grants/arc/FL130100102-
pubs.publication-statusPublished-
dc.identifier.orcidLatif, Y. [0000-0002-2529-5322]-
dc.identifier.orcidReid, I. [0000-0001-7790-6423]-
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Computer Science publications

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