Image Processing For Uav Autonomous Navigation

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but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorKlouda, Jan
dc.date.accessioned2021-07-15T11:17:18Z
dc.date.available2021-07-15T11:17:18Z
dc.date.issued2020cs
dc.description.abstractThe project deals with image recognition, which is provided by a camera and microcomputer. The program is written in Python and based on a comparison with the predefined Haar cascade, recognizes the object on the poly-camera's visual field and borders it. From the position and size of this object, the microcomputer sends commands to the flight controller and the drone is controlled through the camera.en
dc.formattextcs
dc.format.extent92-95cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 92-95. ISBN 978-80-214-5867-3cs
dc.identifier.isbn978-80-214-5867-3
dc.identifier.urihttp://hdl.handle.net/11012/200529
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 26st Conference STUDENT EEICT 2020: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectUAVen
dc.subjectrecognizeen
dc.subjectdroneen
dc.subjectPythonen
dc.subjectautonomous navigationen
dc.titleImage Processing For Uav Autonomous Navigationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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