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Multi-view terrain classification using panoramic imagery and LIDAR

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dc.contributor.authorTaghavi Namin, Sarah
dc.contributor.authorNajafi, Mohammad
dc.contributor.authorPetersson, Lars
dc.coverage.spatialChicago, USA
dc.date.accessioned2015-12-10T22:26:38Z
dc.date.createdSeptember 14-18 2014
dc.date.issued2014
dc.date.updated2015-12-09T09:33:29Z
dc.description.abstractThe focus of this work is addressing the challenges of performing object recognition in real world scenes as captured by a commercial, state-of-the-art, surveying vehicle equipped with a 360° panoramic camera in conjunction with a 3D laser scanner (LIDAR
dc.identifier.isbn9781479969340
dc.identifier.urihttp://hdl.handle.net/1885/53846
dc.publisherIEEE
dc.relation.ispartofseries2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
dc.sourceIEEE International Conference on Intelligent Robots and Systems
dc.titleMulti-view terrain classification using panoramic imagery and LIDAR
dc.typeConference paper
local.bibliographicCitation.lastpage4943
local.bibliographicCitation.startpage4936
local.contributor.affiliationTaghavi Namin, Sarah, College of Engineering and Computer Science, ANU
local.contributor.affiliationNajafi, Mohammad, College of Engineering and Computer Science, ANU
local.contributor.affiliationPetersson, Lars, NICTA
local.contributor.authoruidTaghavi Namin, Sarah, u5105580
local.contributor.authoruidNajafi, Mohammad, u4938496
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationa383154xPUB285
local.identifier.doi10.1109/IROS.2014.6943264
local.identifier.scopusID2-s2.0-84911498534
local.type.statusPublished Version

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