Deep Neural Network For Autonomous Uav Navigation

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but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorKlouda, Jan
dc.date.accessioned2023-01-06T10:05:41Z
dc.date.available2023-01-06T10:05:41Z
dc.date.issued2021cs
dc.description.abstractThe project deals with autonomous drone control. A neural network is used to create autonomouscontrol for object recognition. This recognition is performed with a ground station,where the computer evaluates the position of the drone and autonomously controls the flight of thedrone through the detection of objects.en
dc.formattextcs
dc.format.extent17-20cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 27st Conference STUDENT EEICT 2021: Selected Papers. s. 17-20. ISBN 978-80-214-5943-4cs
dc.identifier.doi10.13164/eeict.2021.17
dc.identifier.isbn978-80-214-5943-4
dc.identifier.urihttp://hdl.handle.net/11012/200845
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 27st Conference STUDENT EEICT 2021: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectUAVen
dc.subjectdroneen
dc.subjectPythonen
dc.subjectautonomous navigationen
dc.subjectobject recognationen
dc.titleDeep Neural Network For Autonomous Uav Navigationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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