Workstation Recognition Using a Constrained Edge Based Hough Transform for Mobile Robot Navigation

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dc.contributor.author Arkin, Ronald C.
dc.contributor.author Vaughn, David L.
dc.date.accessioned 2008-06-10T16:44:03Z
dc.date.available 2008-06-10T16:44:03Z
dc.date.issued 1989
dc.identifier.uri http://hdl.handle.net/1853/22453
dc.description.abstract Landmark 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.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Docking workstation en_US
dc.subject Hough transform en_US
dc.subject Robot navigation en_US
dc.title Workstation Recognition Using a Constrained Edge Based Hough Transform for Mobile Robot Navigation en_US
dc.type Paper en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing


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