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Team OSAM-UAV’s Design for the 2008 AUVSI Student UAS Competition

[+] Author Affiliations
Christopher J. Hall, Daniel Morgan, Austin Jensen, Haiyang Chao, Calvin Coopmans, Mitchel Humpherys, YangQuan Chen

Utah State University, Logan, UT

Paper No. DETC2009-86500, pp. 575-584; 10 pages
doi:10.1115/DETC2009-86500
From:
  • ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: ASME/IEEE 2009 International Conference on Mechatronic and Embedded Systems and Applications; 20th Reliability, Stress Analysis, and Failure Prevention Conference
  • San Diego, California, USA, August 30–September 2, 2009
  • Conference Sponsors: Design Engineering Division and Computers in Engineering Division
  • ISBN: 978-0-7918-4900-2 | eISBN: 978-0-7918-3856-3
  • Copyright © 2009 by ASME

abstract

This paper, was originally prepared for and presented at the 2008 AUVSI Student UAS Competition, it provides the OSAM-UAV (Open-Source Autonomous Multiple Unmanned Aerial Vehicle) team’s design of an unmanned aircraft system for remote target recognition missions. Our OSAM-UAVs are designed to be small in size with strong airframes, and low-cost using open-source in both autopilot hardware and flight control software. A robust EPP-based delta wing airframe is used to prevent damage to the airframe during landing or even crashes. Autonomous navigation is achieved using an open-source Paparazzi autopilot, which gives special attention to safety during operation. Our system has been further enhanced by using the Xbow MNAV Inertial Measurement Unit (IMU) in place of the Paparazzi’s standard infrared (IR) sensors, for better georeferencing. An array of light-weight video cameras have been embedded in the airframe, which stream video to the ground control station through wireless transmitters in real-time. The ground control system includes a computer vision system, which processes and geo-references images in real-time for target recognition. Experimental results show the successful autonomous waypoint navigation and real-time image processing.

Copyright © 2009 by ASME
Topics: Design , Teams , Students

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