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Mini-micro unmanned aerial vehicle intelligence: a threat to land vehicles

Version 2 2024-06-06, 08:04
Version 1 2015-03-26, 10:02
chapter
posted on 2024-06-06, 08:04 authored by Vu LeVu Le, A Filippidis, Chee Peng LimChee Peng Lim, W Abdelrahman, S Nahavandi
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.

History

Volume

262

Chapter number

8

Pagination

79-91

ISSN

0922-6389

ISBN-13

9781614994046

Language

eng

Publication classification

B Book chapter, B1 Book chapter

Copyright notice

2014, IOS Press

Extent

79

Editor/Contributor(s)

Breuker J, Guarino N, Kok J, Liu J, Lopez de Mantaras R, Mizoguchi R, Musen M, Pal SK, Zhong N

Publisher

IOS Press

Place of publication

Amsterdam, The Netherlands

Title of book

Smart digital futures 2014

Series

Frontiers in artificial intelligence and applications