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 | Van Horne, Chris | |
dc.date.accessioned | 2015-10-14T18:30:51Z | en |
dc.date.available | 2015-10-14T18:30:51Z | en |
dc.date.issued | 2013-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/579707 | en |
dc.description | ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV | en_US |
dc.description.abstract | The University of Arizona's Aerial Robotics Club (ARC) sponsors the development of an unmanned aerial vehicle (UAV) able to compete in the annual Association for Unmanned Vehicle Systems International (AUVSI) Seafarer Chapter Student Unmanned Aerial Systems competition. Modern programming frameworks are utilized to develop a robust distributed imagery and telemetry pipeline as a backend for a mission operator user interface. This paper discusses the design changes made for the 2013 AUVSI competition including integrating low-latency first-person view, updates to the distributed task backend, and incremental and asynchronous updates the operator's user interface for real-time data analysis. | |
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 | en |
dc.subject | UAV | en |
dc.subject | Pattern Analysis | en |
dc.subject | Computer Vision | en |
dc.subject | Distributed Systems | en |
dc.subject | Convex Optimization | en |
dc.subject | Queueing Theory | 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 | 2018-06-06T08:16:37Z | |
html.description.abstract | The University of Arizona's Aerial Robotics Club (ARC) sponsors the development of an unmanned aerial vehicle (UAV) able to compete in the annual Association for Unmanned Vehicle Systems International (AUVSI) Seafarer Chapter Student Unmanned Aerial Systems competition. Modern programming frameworks are utilized to develop a robust distributed imagery and telemetry pipeline as a backend for a mission operator user interface. This paper discusses the design changes made for the 2013 AUVSI competition including integrating low-latency first-person view, updates to the distributed task backend, and incremental and asynchronous updates the operator's user interface for real-time data analysis. |