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A High Performance Fuzzy Logic Architecture for UAV Decision Making

Wu, Paul P.Y., Narayan, Pritesh P., Campbell, Duncan A., Lees, Michael, & Walker, Rodney A. (2006) A High Performance Fuzzy Logic Architecture for UAV Decision Making. In IASTED International Conference on Computational Intelligence, Nov 20-22, San Francisco.

Abstract

The majority of Unmanned Aerial Vehicles (UAVs) in operation today are not truly autonomous, but are instead reliant on a remote human pilot. A high degree of autonomy can provide many advantages in terms of cost, operational resources and safety. However, one of the challenges involved in achieving autonomy is that of replicating the reasoning and decision making capabilities of a human pilot. One candidate method for providing this decision making capability is fuzzy logic. In this role, the fuzzy system must satisfy real-time constraints, process large quantities of data and relate to large knowledge bases. Consequently, there is a need for a generic, high performance fuzzy computation platform for UAV applications. Based on Lees’ [1] original work, a high performance fuzzy processing architecture, implemented in Field Programmable Gate Arrays (FPGAs), has been developed and is shown to outclass the performance of existing fuzzy processors.

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ID Code: 6006
Item Type: Conference Paper
Additional URLs:
Keywords: Fuzzy systems, hardware implementation, unmanned aerial vehicle (UAV), pipelining, decision support systems, parallel computing
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aerospace Engineering not elsewhere classified (090199)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 ACTA Press
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 18 Jan 2007
Last Modified: 29 Feb 2012 23:24

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