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Enhancing fuzzy robot navigation systems by mimicking human visual perception of natural terrain traversibility

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dc.contributor.author Tunstel, E. en_US
dc.contributor.author Howard, A. en_US
dc.contributor.author Edwards, D. en_US
dc.contributor.author Carlson, A. en_US
dc.date.accessioned 2004-09-22T22:41:37Z
dc.date.available 2004-09-22T22:41:37Z
dc.date.issued 2001-07-25 en_US
dc.identifier.citation Joint 9th IFSA World Congress and 20th NAFIPS International Conference en_US
dc.identifier.citation Vancouver, Canada en_US
dc.identifier.clearanceno 01-0755 en_US
dc.identifier.uri http://hdl.handle.net/2014/12553
dc.description.abstract This paper presents a technique for learning to assess terrain traversability for outdoor mobile robot navigation using human-embedded logic and real-time perception of terrain features extracted from image data. en_US
dc.format.extent 614016 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other fuzzy logic robot vision traversability optimization rover navigation en_US
dc.title Enhancing fuzzy robot navigation systems by mimicking human visual perception of natural terrain traversibility en_US


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