Machine vision and autonomous integration into an unmanned aircraft system

Chris Van Horne, James Dianics, Hermann F Fasel, Michael W Marcellin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the International Telemetering Conference
Volume49
StatePublished - 2013
EventITC/USA 2013: 49th Annual International Telemetering Conference and Technical Exhibition - Meeting all the Challenges of Telemetry, 2013 - Las Vegas,NV, United States
Duration: Oct 21 2013Oct 24 2013

Other

OtherITC/USA 2013: 49th Annual International Telemetering Conference and Technical Exhibition - Meeting all the Challenges of Telemetry, 2013
CountryUnited States
CityLas Vegas,NV
Period10/21/1310/24/13

Fingerprint

unmanned aircraft systems
Unmanned vehicles
computer vision
Computer vision
User interfaces
vehicles
Aircraft
Antennas
pilotless aircraft
operators
telemetry
Telemetering
Unmanned aerial vehicles (UAV)
programming
robotics
imagery
students
Robotics
Pipelines
Students

Keywords

  • Computer vision
  • Convex optimization
  • Distributed systems
  • Pattern analysis
  • Queueing theory
  • UAV
  • Unmanned aerial vehicle

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing

Cite this

Van Horne, C., Dianics, J., Fasel, H. F., & Marcellin, M. W. (2013). Machine vision and autonomous integration into an unmanned aircraft system. In Proceedings of the International Telemetering Conference (Vol. 49)

Machine vision and autonomous integration into an unmanned aircraft system. / Van Horne, Chris; Dianics, James; Fasel, Hermann F; Marcellin, Michael W.

Proceedings of the International Telemetering Conference. Vol. 49 2013.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Van Horne, C, Dianics, J, Fasel, HF & Marcellin, MW 2013, Machine vision and autonomous integration into an unmanned aircraft system. in Proceedings of the International Telemetering Conference. vol. 49, ITC/USA 2013: 49th Annual International Telemetering Conference and Technical Exhibition - Meeting all the Challenges of Telemetry, 2013, Las Vegas,NV, United States, 10/21/13.
Van Horne C, Dianics J, Fasel HF, Marcellin MW. Machine vision and autonomous integration into an unmanned aircraft system. In Proceedings of the International Telemetering Conference. Vol. 49. 2013
Van Horne, Chris ; Dianics, James ; Fasel, Hermann F ; Marcellin, Michael W. / Machine vision and autonomous integration into an unmanned aircraft system. Proceedings of the International Telemetering Conference. Vol. 49 2013.
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