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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01qj72p9766
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dc.contributor.advisorHouck, Andrew A.-
dc.contributor.authorJin, Tony-
dc.contributor.authorAlmeida, James-
dc.contributor.authorChavda, Aarav-
dc.date.accessioned2017-07-24T13:09:34Z-
dc.date.available2017-07-24T13:09:34Z-
dc.date.created2017-05-04-
dc.date.issued2017-5-4-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01qj72p9766-
dc.description.abstractQuadcopter drones are quickly becoming versatile and crucial tools used for a multitude of tasks ranging from filming to package delivery to search and rescue. However, drones are severely limited by their battery capacity; most popular quadcopters are unable to achieve even 30 minutes of continuous flight time. This is a fundamental limitation in how long a drone can perform tasks without landing and it especially impedes drone use in automated applications. This thesis project attempts to overcome this obstacle by building a battery-swapping base station and programming a DJI Phantom 3 drone to pilot itself and land in the station using computer vision. In the end, this project will demonstrate using a single drone to constantly monitor a defined perimeter with minimal ground time.en_US
dc.language.isoen_USen_US
dc.titleAutomating Perpetual Quadcopter Flighten_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2017en_US
pu.departmentElectrical Engineeringen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960861953-
pu.contributor.authorid960862576-
pu.contributor.authorid960741625-
pu.contributor.advisorid000843833-
Appears in Collections:Electrical Engineering, 1932-2020

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