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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp016682x639k
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dc.contributor.advisorXiao, Jianxiong-
dc.contributor.authorWalker, Ed-
dc.date.accessioned2016-07-01T14:04:03Z-
dc.date.available2016-07-01T14:04:03Z-
dc.date.created2016-04-29-
dc.date.issued2016-07-01-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp016682x639k-
dc.description.abstractThis paper introduces a new method of pose estimation for the picking and stowing problems. The approach uses April tags to estimate an item’s pose from a single image. In testing, the approach has a root mean square error of 4.5 mm against a SIFT and RANSAC method on non-deformable items used in the 2015 Amazon Picking Challenge. This method could be valuable for stocking warehouse shelves and for other applications. 2en_US
dc.format.extent39 pages*
dc.language.isoen_USen_US
dc.titlePose Estimation Using April Tags for the Picking Problemen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2016en_US
pu.departmentComputer Scienceen_US
pu.pdf.coverpageSeniorThesisCoverPage-
Appears in Collections:Computer Science, 1988-2020

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