Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/21158

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dc.contributor.authorLopes, Gil-
dc.contributor.authorRibeiro, A. Fernando-
dc.contributor.authorPereira, Nino-
dc.date.accessioned2012-12-04T18:03:44Z-
dc.date.available2012-12-04T18:03:44Z-
dc.date.issued2012-
dc.identifier.isbn9783642320590por
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/21158-
dc.description.abstractOmnidirectional Robocup MSL robots often use catadioptric vision systems in order to enable 360º of field view. It comprises an upright camera facing a convex mirror, commonly spherical, parabolic or hyperbolic, that reflects the entire space around the robot. This technique is being used for more than a decade and in a similar way by most teams. Teams upgrade their cameras in order to obtain more and better information of the captured area in pixel quantity and quality, but a large image area outside the convex mirror is black and unusable. The same happens on the image centre where the robot shows itself. Some efficiency though, can be improved in this technique by the methods presented in this paper such as developing a new convex mirror and by repositioning the camera viewpoint. Using 3D modelling CAD/CAM software for the simulation and CNC lathe mirror construction, some results are presented and discussed.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.rightsopenAccesspor
dc.subjectOmnidirectional robotspor
dc.subjectRoboCup MSLpor
dc.subjectcatadioptric systempor
dc.subject3D Modellingpor
dc.titleCatadioptric system optimisation for omnidirectional Robocup MSL robotspor
dc.typebookPartpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage318por
oaire.citationEndPage328por
oaire.citationTitleLecture Notes in Computer Science (LNCS)por
oaire.citationVolume7416 LNCSpor
dc.identifier.doi10.1007/978-3-642-32060-6_27por
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
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