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Multi-view terrain classification using panoramic imagery and LIDAR

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Taghavi Namin, Sarah; Najafi, Mohammad; Petersson, Lars

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The 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.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.identifier.isbn9781479969340
dc.identifier.urihttp://hdl.handle.net/1885/53846
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.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.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationa383154xPUB285
local.type.statusPublished Version
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.description.embargo2037-12-31
local.bibliographicCitation.startpage4936
local.bibliographicCitation.lastpage4943
local.identifier.doi10.1109/IROS.2014.6943264
dc.date.updated2015-12-09T09:33:29Z
local.identifier.scopusID2-s2.0-84911498534
CollectionsANU Research Publications

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