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Fast and reliable obstacle detection and segmentation for cross-country navigation

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dc.contributor.author Talukder, A. en_US
dc.contributor.author Manduchi, R. en_US
dc.contributor.author Rankin, A. en_US
dc.contributor.author Matthies, L. en_US
dc.date.accessioned 2004-09-17T05:16:34Z
dc.date.available 2004-09-17T05:16:34Z
dc.date.issued 2002-06-18 en_US
dc.identifier.citation IEEE Intelligent Vehicle Symposium IV 2002 en_US
dc.identifier.citation Versailles, France en_US
dc.identifier.clearanceno 02-1192 en_US
dc.identifier.uri http://hdl.handle.net/2014/8622
dc.description.abstract Obstacle detection is one of the main components of the control system of autonomous vehicles. In the case of indoor/urban navigation, obstacles are typically defined as surface points that are higher than the ground plane. This characterization, however, cannot be used in cross-country and unstructured environments, where the notion of ground plane is often not meaningful. en_US
dc.format.extent 3085188 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other autonomous navigation obstacle detection terrain perception 3D vision classification geometrical reasoning en_US
dc.title Fast and reliable obstacle detection and segmentation for cross-country navigation en_US


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