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dc.rights.licenseIn Copyrighten_US
dc.creatorBajracharya, Suraj
dc.date.accessioned2014-04-30T14:38:55Z
dc.date.available2014-04-30T14:38:55Z
dc.date.created2014
dc.identifierWLURG38_Bajracharya_CSCI_2014
dc.identifier.urihttp://hdl.handle.net/11021/27338
dc.descriptionThesis; [FULL-TEXT FREELY AVAILABLE ONLINE]en_US
dc.descriptionSuraj Bajracharya is a member of the Class of 2014 of Washington and Lee University.en_US
dc.description.abstractBreezySLAM is a simple, efficient, multiplatform, open-source Python library for Simultaneous Localization and Mapping. By using Python C extensions to wrap existing implementations of existing SLAM algorithms, BreezySLAM provides a Python API for SLAM that runs nearly as fast as the original C code. By making a SLAM API available in Python, students and other interested users will be able to get their hands on SLAM very quickly and efficiently. BreezySLAM has been tested with a number of robots in V-REP Simulator, as well as on a Neato XV-11, with promising results.en_US
dc.description.statementofresponsibilitySuraj Bajracharya
dc.format.extent37 pagesen_US
dc.language.isoen_USen_US
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with the source.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subject.otherWashington and Lee University -- Honors in Computer Scienceen_US
dc.titleBreezySLAM: A Simple, Efficient, Cross-platform Python Package for Simultaneous Localization and Mapping (thesis)en_US
dc.typeTexten_US
dcterms.isPartOfRG38 - Student Papers
dc.rights.holderBajracharya, Suraj
dc.subject.fastComputer algorithmsen_US
dc.subject.fastApplication program interfaces (Computer software)en_US
dc.subject.fastRoboticsen_US
dc.subject.fastDigital mapping -- Computer programsen_US
dc.subject.fastRobots -- Control systemsen_US
local.departmentComputer Scienceen_US
local.scholarshiptypeHonors Thesisen_US


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