Automated TUAV Launch & Recovery Zone ID System

Duggan, Andrew and Walker, Rodney A. and Dusha, Damien and Fitzgerald, Daniel L. (2005) Automated TUAV Launch & Recovery Zone ID System. In: Australian International Aerospace Congress, 13th - 17th March 2005, Melbourne, Australia.

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Abstract

As recent coalition operations have clearly demonstrated, TUAVs have become an increasingly vital part of a force Commander's ISTAR strategy. While TUAVs can be launched and recovered in relatively small cleared areas, there is still a need to assist in the rapid selection of suitable L&R sites. This paper presents the results of a new automated approach to rapidly identify these suitable L&R areas. This system is based on the availability of detailed topographic information, GIS data and advanced image processing tools. The results of the test case analysis around Dili, East Timor demonstrate the automated selction of a number of potential L&R sites based on GIS data. Use of the methodology resulted in a reduction of the number of potential sites from approximately 14500 down to 36. Overall the test analysis clearly shows that the methodology is capable of automating and considerably simplifying the L&R site selection process.

ID Code:	1090
Item Type:	Conference Paper
Keywords :	TUAV, Launch & Recovery, Landing Zone Detection, Automated
Subjects:	Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106) Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Divisions:	QUT Faculties and Divisions > Faculty of Built Environment and Engineering
Copyright Owner :	Copyright 2005 (please consult author)
Deposited On:	05 May 2005
Last Modified:	03 Dec 2008 12:22

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