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dc.contributor.authorArkin, Ronald C.
dc.contributor.authorVaughn, David L.
dc.date.accessioned2008-06-10T16:44:03Z
dc.date.available2008-06-10T16:44:03Z
dc.date.issued1989
dc.identifier.urihttp://hdl.handle.net/1853/22453
dc.description.abstractLandmark recognition is a task required of many robotic systems. In this work, we examine the use of a constrained Hough transform used by a mobile robot to locate a docking workstation. This algorithm deals with the uncertainty inherent in a mobile robot by making use of a spatial uncertainty map maintained by the robot. Several iterations of the Hough transform are run with transformed models of the dock. Votes are accumulated in a collapsed Hough space which, although unable to recover range and orientation information, simplifies locating the dock within the image.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectDocking workstationen_US
dc.subjectHough transformen_US
dc.subjectRobot navigationen_US
dc.titleWorkstation Recognition Using a Constrained Edge Based Hough Transform for Mobile Robot Navigationen_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing


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  • Mobile Robot Laboratory Publications [174]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory [175]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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