Persistent Link:
http://hdl.handle.net/10150/581850
Title:
Machine Vision and Autonomous Integration Into an Unmanned Aircraft System
Author:
Alexander, Josh; Blake, Sam; Clasby, Brendan; Shah, Anshul Jatin; Van Horne, Chris; Van Horne, Justin
Advisor:
Dianics, James; Fasel, Hermann F.; Marcellin, Michael W.
Affiliation:
University of Arizona
Issue Date:
2012-10
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
The University of Arizona's Aerial Robotics Club (ARC) sponsored two senior design teams to compete in the 2011 AUVSI Student Unmanned Aerial Systems (SUAS) competition. These teams successfully design and built a UAV platform in-house that was capable of autonomous flight, capturing aerial imagery, and filtering for target recognition but required excessive computational hardware and software bugs that limited the systems capability. A new multi-discipline team of undergrads was recruited to completely redesign and optimize the system in an attempt to reach true autonomous real-time target recognition with reasonable COTS hardware.
Keywords:
Unmanned Aerial Vehicle (UAV); Haar-like features; ZeroMQ networking; CUDA™ programming; OpenCV
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleMachine Vision and Autonomous Integration Into an Unmanned Aircraft Systemen_US
dc.contributor.authorAlexander, Joshen
dc.contributor.authorBlake, Samen
dc.contributor.authorClasby, Brendanen
dc.contributor.authorShah, Anshul Jatinen
dc.contributor.authorVan Horne, Chrisen
dc.contributor.authorVan Horne, Justinen
dc.contributor.advisorDianics, Jamesen_US
dc.contributor.advisorFasel, Hermann F.en_US
dc.contributor.advisorMarcellin, Michael W.en_US
dc.contributor.departmentUniversity of Arizonaen
dc.date.issued2012-10en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en_US
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractThe University of Arizona's Aerial Robotics Club (ARC) sponsored two senior design teams to compete in the 2011 AUVSI Student Unmanned Aerial Systems (SUAS) competition. These teams successfully design and built a UAV platform in-house that was capable of autonomous flight, capturing aerial imagery, and filtering for target recognition but required excessive computational hardware and software bugs that limited the systems capability. A new multi-discipline team of undergrads was recruited to completely redesign and optimize the system in an attempt to reach true autonomous real-time target recognition with reasonable COTS hardware.en
dc.subjectUnmanned Aerial Vehicle (UAV)en
dc.subjectHaar-like featuresen
dc.subjectZeroMQ networkingen
dc.subjectCUDA™ programmingen
dc.subjectOpenCVen
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/581850en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.