Automated Parsing and Conversion of Vehicle-Specific Data into Autonomous Vehicle Control Language (AVCL) using Context-Free Grammars and XML Data Binding
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autonomous 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.
14th International Symposium on Unmanned Untethered Submersible Technology (UUST), Autonomous Undersea Systems Institute (AUSI), Durham New Hampshire, 21-24 August 2005NPS AUV Workbench: Papers
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