Title:
Visual Search Automation for Unmanned Aerial Vehicles

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ejohnson_taes_2005_41.pdf (1.27 MB)
Author(s)
Johnson, Eric N.
 Proctor, Alison A.
 Ha, Jin-Cheol
 Tannenbaum, Allen R.
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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http://hdl.handle.net/1853/35886
Abstract
This paper describes the design, development, and testing of an Unmanned Aerial Vehicle (UAV) with automated capabilities: searching a prescribed area, identifying a specific building within that area based on a small sign located on one wall, and then identifying an opening into that building. This includes a description of the automated search system along with simulation and flight test results. Results include successful evaluation at the McKenna Military Operations in Urban Terrain flight test site.
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This work was supported in part by the DARPA Software Enabled Control (SEC) Program under contracts #33615-98-C-1341 and #33615-99-C-1500, Lockheed Martin, NovAtel, Bahr Avionics, and Inflight Robotics. Other direct contributors include: Henrik Christophersen, J. Eric Corban, Joerg Dittrich, Jeong Hur, Suresh Kannan, Sumit Mishra, Wayne Pickell, Daniel Schrage, and Hungsun Son. Operations at the McKenna MOUT site required the support of McKenna personnel and AUVSI.
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2005-01
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