Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5935
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dc.creatorMaron, Oded-
dc.creatorLozano-Perez, Tomas-
dc.date2004-10-04T14:15:31Z-
dc.date2004-10-04T14:15:31Z-
dc.date1998-06-01-
dc.date.accessioned2013-10-09T02:42:02Z-
dc.date.available2013-10-09T02:42:02Z-
dc.date.issued2013-10-09-
dc.identifierAIM-1638-
dc.identifierhttp://hdl.handle.net/1721.1/5935-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe describe a method called Visible Decomposition for computing collision-free paths in real time through a planar environment with a large number of obstacles. This method divides space into local visibility graphs, ensuring that all operations are local. The search time is kept low since the number of regions is proved to be small. We analyze the computational demands of the algorithm and the quality of the paths it produces. In addition, we show test results on a large simulation testbed.-
dc.format17 p.-
dc.format689951 bytes-
dc.format641831 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-1638-
dc.subjectAI-
dc.subjectMIT-
dc.subjectArtificial Intelligence-
dc.subjectpath planning-
dc.subjectvisibility graph-
dc.titleVisible Decomposition: Real-Time Path Planning in Large Planar Environments-
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