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Location Recognition Using Stereo Vision

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dc.contributor.author Braunegg, David J. en_US
dc.date.accessioned 2004-10-04T14:35:41Z
dc.date.available 2004-10-04T14:35:41Z
dc.date.issued 1989-10-01 en_US
dc.identifier.other AIM-1186 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6006
dc.description.abstract A mobile robot must be able to determine its own position in the world. To support truly autonomous navigation, we present a system that builds and maintains its own models of world locations and uses these models to recognize its world position from stereo vision input. The system is designed to be robust with respect to input errors and to respond to a gradually changing world by updating the world location models. We present results from tests of the system that demonstrate its reliability. The model builder and recognition system fit into a planned world modeling system that we describe. en_US
dc.description.provenance Made available in DSpace on 2004-10-04T14:35:41Z (GMT). No. of bitstreams: 2 AIM-1186.ps: 2058572 bytes, checksum: 10fa7afd2eddcc4a62623ddc79c0f2b7 (MD5) AIM-1186.pdf: 1588415 bytes, checksum: 8d4245ccddef1e9ba924e49c74e00bf6 (MD5) Previous issue date: 1989-10-01 en
dc.format.extent 23 p. en_US
dc.format.extent 2058572 bytes
dc.format.extent 1588415 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-1186 en_US
dc.subject recognition en_US
dc.subject mobile robot en_US
dc.subject stereo vision en_US
dc.subject navigation en_US
dc.title Location Recognition Using Stereo Vision en_US

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