Paul P.Y. Wu
A high performance fuzzy logic architecture for UAV decision making
Wu, Paul P.Y.; Narayan, Pritesh Praneet; Campbell, Duncan A.; Lees, Michael; Walker, Rodney A.
Authors
Pritesh Narayan Pritesh.Narayan@uwe.ac.uk
Deputy Head of Department
Duncan A. Campbell
Michael Lees
Rodney A. Walker
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.
Citation
Wu, P. P., Narayan, P. P., Campbell, D. A., Lees, M., & Walker, R. A. (2006, January). A high performance fuzzy logic architecture for UAV decision making. Paper presented at IASTED International Conference on Computational Intelligence, San Francisco
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | IASTED International Conference on Computational Intelligence |
Conference Location | San Francisco |
Start Date | Jan 1, 2006 |
Publication Date | Jan 1, 2006 |
Peer Reviewed | Peer Reviewed |
Pages | 260-265 |
Keywords | fuzzy systems, hardware implementation, unmanned aerial vehicle (UAV), pipelining, decision support systems, parallel computing |
Public URL | https://uwe-repository.worktribe.com/output/1045703 |
Publisher URL | http://www.actapress.com/Abstract.aspx?paperId=29082 |
Additional Information | Title of Conference or Conference Proceedings : IASTED International Conference on Computational Intelligence |
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