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Distributed Search Method for Teams of Small Unmanned Aircraft Systems

dc.contributor.advisorBaras, John Sen_US
dc.contributor.authorMoschler, Jacob D.en_US
dc.date.accessioned2018-07-17T06:23:24Z
dc.date.available2018-07-17T06:23:24Z
dc.date.issued2018en_US
dc.identifierhttps://doi.org/10.13016/M2WD3Q47V
dc.identifier.urihttp://hdl.handle.net/1903/21021
dc.description.abstractWe apply Model Based Systems Engineering (MBSE) methods to develop requirements for unmanned aircraft systems (UAS) use cases across industries and create new path planning algorithms for one group of use cases with similar requirements. We then develop and validate models to estimate cost versus data quality for the aforementioned group of use cases. We use our models in conjunction with the MBSE process to plan and execute flights beyond visual line of sight (BVLOS) to scan large areas of remote jungle using small UAS.en_US
dc.language.isoenen_US
dc.titleDistributed Search Method for Teams of Small Unmanned Aircraft Systemsen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentSystems Engineeringen_US
dc.subject.pqcontrolledRoboticsen_US
dc.subject.pqcontrolledAerospace engineeringen_US
dc.subject.pqcontrolledElectrical engineeringen_US
dc.subject.pquncontrolleddronesen_US
dc.subject.pquncontrolledMBSEen_US
dc.subject.pquncontrolledmodel based systems engineeringen_US
dc.subject.pquncontrolledsystems engineeringen_US
dc.subject.pquncontrolledUASen_US
dc.subject.pquncontrolledunammned aircraften_US


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