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dc.contributor.authorDavis, Duane
dc.date21-24 August 2005
dc.date.accessioned2013-09-18T23:03:20Z
dc.date.available2013-09-18T23:03:20Z
dc.date.issued2005-08
dc.identifier.citationDavis, Duane, "Automated Parsing and Conversion of Vehicle-Specific Data into Autonomous Vehicle Control Language (AVCL) using Context-Free Grammars and XML Data Binding," 14th International Symposium on Unmanned Untethered Submersible Technology (UUST), Autonomous Undersea Systems Institute (AUSI), Durham New Hampshire, 21-24 August 2005. Paper and slideset.
dc.identifier.urihttp://hdl.handle.net/10945/36493
dc.description14th International Symposium on Unmanned Untethered Submersible Technology (UUST), Autonomous Undersea Systems Institute (AUSI), Durham New Hampshire, 21-24 August 2005en_US
dc.descriptionNPS AUV Workbench: Papersen_US
dc.description.abstractautonomous underwater vehicle (AUV) operations. In particular, missions are generally written and data archived using vehicle-specific languages and formats. Development of an unmanned vehicle (UV) ontology and automated conversion of vehiclespecific information into a data format constrained by this ontology can prove useful by enabling the development of planning and analysis tools for arbitrary vehicles and enabling facilitating interoperability between dissimilar vehicles. Implementation of this ontology using the Extensible Markup Language (XML) is the obvious choice, in part because of the ease with which it can be transformed to other formats using the Extensible Stylesheet Language for Transformations (XSLT). Additionally, consistent mappings of output telemetry to XML files permits results to be selfdocumenting and self-validating. Nevertheless, automated conversion of vehicle-specific data to a common XML format can be problematic necessitating the development of conversion methodologies suited to this task.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleAutomated Parsing and Conversion of Vehicle-Specific Data into Autonomous Vehicle Control Language (AVCL) using Context-Free Grammars and XML Data Bindingen_US
dc.typePaperen_US
dc.contributor.corporateModeling, Virtual Environments, and Simulation Institute (MOVES)en_US


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