Mini-micro unmanned aerial vehicle intelligence: a threat to land vehicles Le,VT, Filippidis,A, Lim,CP, Abdelrahman,W and Nahavandi,S 2014, Mini-micro unmanned aerial vehicle intelligence: a threat to land vehicles. In Breuker,J, Guarino,N, Kok,J, Liu,J, Lopez de Mantaras,R, Mizoguchi,R, Musen,M, Pal,SK and Zhong,N (ed), Smart digital futures 2014, IOS Press, Amsterdam, The Netherlands, pp.79-91, doi: 10.3233/978-1-61499-405-3-79. Attached Files Name Description MIMEType Size Downloads Title Mini-micro unmanned aerial vehicle intelligence: a threat to land vehicles Author(s) Le,VT orcid.org/0000-0003-0648-6112 Filippidis,A Lim,CP orcid.org/0000-0003-4191-9083 Abdelrahman,W Nahavandi,S orcid.org/0000-0002-0360-5270 Title of book Smart digital futures 2014 Editor(s) Breuker,J Guarino,N Kok,J Liu,J Lopez de Mantaras,R Mizoguchi,R Musen,M Pal,SK Zhong,N Publication date 2014 Series Frontiers in artificial intelligence and applications Chapter number 8 Total chapters 79 Start page 79 End page 91 Total pages 13 Publisher IOS Press Place of Publication Amsterdam, The Netherlands Keyword(s) Artificial Intelligent Coordination MAV Swarm UAV Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Theory & Methods Computer Science DESIGN Summary Increasing 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. ISBN 9781614994046 ISSN 0922-6389 Language eng DOI 10.3233/978-1-61499-405-3-79 Field of Research 080101 Adaptive Agents and Intelligent Robotics 080110 Simulation and Modelling 091303 Autonomous Vehicles Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category B1 Book chapter ERA Research output type B Book chapter Copyright notice ©2014, IOS Press Persistent URL http://hdl.handle.net/10536/DRO/DU:30071777 Document type: Book Chapter Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 26 Mar 2015, 09:02:29 EST Thu, 26 Mar 2015, 09:03:51 EST Thu, 16 Apr 2015, 12:39:05 EST Thu, 16 Apr 2015, 16:26:22 EST Thu, 16 Apr 2015, 16:37:26 EST Sat, 18 Apr 2015, 06:12:17 EST Mon, 20 Apr 2015, 15:51:31 EST Mon, 20 Apr 2015, 15:52:23 EST Wed, 20 May 2015, 15:21:05 EST Thu, 21 May 2015, 08:09:54 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 568 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Thu, 16 Apr 2015, 12:39:05 EST

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