Markerless Augmented Reality for Robots in Unprepared Environments

Show simple item record Chen, Ian en MacDonald, Bruce en Wuensche, Burkhard en
dc.coverage.spatial Canberra, Australia en 2011-11-14T19:10:33Z en 2008 en
dc.identifier.citation ACRA 2008, Canberra, Australia, 03 Dec 2008 - 05 Dec 2008. Australasian Conference on Robotics and Automation. 2008 en
dc.identifier.uri en
dc.description.abstract Augmented Reality (AR) can assist humans in understanding complex robot information, and improve Human and Robot Interaction (HRI). However, many restrictions are imposed by the underlying technology used and thus have lim- ited current AR systems to operate in con- trolled or modi ed robot environments. This hinders the wide spread use of AR for di er- ent robot applications. This paper presents a markerless AR system that combines recent tracking and detection techniques for AR vi- sualisation of robot task relevant information. We employ natural feature tracking techniques to compute the camera pose for accurate reg- istration of virtual objects. Automatic relocal- isation of the camera pose is achieved using a planar object detection algorithm which recov- ers from tracking failures. Experiments using a camera mounted on a mobile ground robot demonstrated accurate tracking and successful recovery of planar features in an unprepared indoor environment. en
dc.relation.ispartof ACRA 2008 en
dc.relation.ispartofseries Australasian Conference on Robotics and Automation en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.title Markerless Augmented Reality for Robots in Unprepared Environments en
dc.type Conference Item en
pubs.begin-page 1 en
dc.rights.holder Copyright: the author en en
pubs.end-page 8 en
pubs.finish-date 2008-12-05 en
pubs.publication-status Published en
pubs.start-date 2008-12-03 en
dc.rights.accessrights en
pubs.subtype Conference Paper en
pubs.elements-id 81688 en Engineering en Department of Electrical, Computer and Software Engineering en Science en School of Computer Science en
pubs.record-created-at-source-date 2010-09-01 en

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