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

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

Aerospace and Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

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 language	English (US)
Journal	Proceedings of the International Telemetering Conference
Volume	48
State	Published - 2012
Event	48th Annual International Telemetering Conference and Technical Exhibition, ITC/USA 2012 - San Diego, CA, United States Duration: Oct 22 2012 → Oct 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

Cite this

@article{7980eaf405ac4ee48e6a545fb0efa9b7,

title = "Machine vision and autonomus integration into an unmanned aircraft system",

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.",

keywords = "CUDATM programming, Haar-like features, OpenCV, Unmanned aerial vehicle (UAV), ZeroMQ networking",

author = "Josh Alexander and Sam Blake and Brendan Clasby and {Jatin Shah}, Anshul and {Van Horne}, Chris and {Van Horne}, Justin and James Dianics and Fasel, {Hermann F.}",

year = "2012",

language = "English (US)",

volume = "48",

journal = "Proceedings of the International Telemetering Conference",

issn = "0884-5123",

publisher = "International Foundation for Telemetering",

note = "48th Annual International Telemetering Conference and Technical Exhibition, ITC/USA 2012 ; Conference date: 22-10-2012 Through 25-10-2012",

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TY - JOUR

T1 - Machine vision and autonomus integration into an unmanned aircraft system

AU - Alexander, Josh

AU - Blake, Sam

AU - Clasby, Brendan

AU - Jatin Shah, Anshul

AU - Van Horne, Chris

AU - Van Horne, Justin

AU - Dianics, James

AU - Fasel, Hermann F.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - CUDATM programming

KW - Haar-like features

KW - OpenCV

KW - Unmanned aerial vehicle (UAV)

KW - ZeroMQ networking

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M3 - Conference article

SN - 0884-5123

VL - 48

JO - Proceedings of the International Telemetering Conference

JF - Proceedings of the International Telemetering Conference

T2 - 48th Annual International Telemetering Conference and Technical Exhibition, ITC/USA 2012

Y2 - 22 October 2012 through 25 October 2012

ER -

Machine vision and autonomus integration into an unmanned aircraft system

Abstract

Keywords

ASJC Scopus subject areas

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