Machine Vision and Autonomous Integration Into an Unmanned Aircraft System
dc.contributor.advisor | Dianics, James | en_US |
dc.contributor.advisor | Fasel, Hermann F. | en_US |
dc.contributor.advisor | Marcellin, Michael W. | en_US |
dc.contributor.author | Alexander, Josh | |
dc.contributor.author | Blake, Sam | |
dc.contributor.author | Clasby, Brendan | |
dc.contributor.author | Shah, Anshul Jatin | |
dc.contributor.author | Van Horne, Chris | |
dc.contributor.author | Van Horne, Justin | |
dc.date.accessioned | 2015-11-05T16:24:44Z | en |
dc.date.available | 2015-11-05T16:24:44Z | en |
dc.date.issued | 2012-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/581850 | en |
dc.description | ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California | en_US |
dc.description.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. | |
dc.description.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en_US |
dc.subject | Unmanned Aerial Vehicle (UAV) | en |
dc.subject | Haar-like features | en |
dc.subject | ZeroMQ networking | en |
dc.subject | CUDA™ programming | en |
dc.subject | OpenCV | en |
dc.title | Machine Vision and Autonomous Integration Into an Unmanned Aircraft System | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | University of Arizona | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | 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. | en_US |
refterms.dateFOA | 2018-04-26T03:08:59Z | |
html.description.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. |