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Mini-micro unmanned aerial vehicle intelligence: a threat to land vehicles
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posted on 2014-01-01, 00:00 authored by Vu LeVu Le, A Filippidis, Chee Peng LimChee Peng Lim, Wael Abdelrahman, Saeid NahavandiIncreasing use of commercial off-the-shelf Mini-Micro Unmanned Aerial Vehicle (MAV) systems with enhanced intelligence methodologies can potentially be a threat, if this technology falls into the wrong hands. In this study, we investigate the level of threat imposed on critical infrastructure using different MAV swarm artificial intelligence traits and coordination methodologies. The critical infrastructure in consideration is a moving commercial land vehicle that may be transporting for example an important civil servant or politician. Non-dimensional fitness functions used for measuring MAV mission effectiveness have been established for the case studies considered in this paper. The findings indicated that increased in intelligent and coordination level elevate teams' efficiency, therefore poses a higher degree of threat to targeted land vehicle. Observations from the study have suggested that memory-based cooperative technique provides a consistent efficiency compared to other methods for the mission objectives considered in this paper. © 2014 The authors and IOS Press. All rights reserved.
History
Title of book
Smart digital futures 2014Volume
262Series
Frontiers in artificial intelligence and applicationsChapter number
8Pagination
79 - 91Publisher
IOS PressPlace of publication
Amsterdam, The NetherlandsPublisher DOI
ISSN
0922-6389ISBN-13
9781614994046Language
engPublication classification
B Book chapter; B1 Book chapterCopyright notice
2014, IOS PressExtent
79Editor/Contributor(s)
J Breuker, N Guarino, J Kok, J Liu, R Lopez de Mantaras, R Mizoguchi, M Musen, S Pal, N ZhongUsage metrics
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