Machine vision and autonomus integration into an unmanned aircraft system

Josh Alexander, Sam Blake, Brendan Clasby, Anshul Jatin Shah, Chris Van Horne, Justin Van Horne, James Dianics, Hermann F. Fasel

Research output: Contribution to journalConference articlepeer-review

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 designed 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.

Original languageEnglish (US)
JournalProceedings of the International Telemetering Conference
Volume48
StatePublished - 2012
Event48th Annual International Telemetering Conference and Technical Exhibition, ITC/USA 2012 - San Diego, CA, United States
Duration: Oct 22 2012Oct 25 2012

Keywords

  • CUDATM programming
  • Haar-like features
  • OpenCV
  • Unmanned aerial vehicle (UAV)
  • ZeroMQ networking

ASJC Scopus subject areas

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

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