Title :
Strategies for multi-asset surveillance
Author :
Spears, William M. ; Zarzhitsky, Dimitri ; Hettiarachchi, Suranga ; Kerr, W.
Author_Institution :
Dept. of Comput. Sci., Wyoming Univ., Laramie, WY, USA
Abstract :
This paper describes our "sandbox" for the study of multi-asset surveillance, and explores the performance of rule-based control strategies on this task. In order to maximize the probability of detection of targets of interest, it is assumed that the team of unmanned air vehicles (UAVs) must provide maximum sensory coverage of the terrain. We demonstrate, however, both through simulation and mathematical analysis, that this is not always the case.
Keywords :
aircraft control; knowledge based systems; mathematical analysis; remotely operated vehicles; surveillance; mathematical analysis; maximum sensory coverage; multi-asset surveillance strategy; rule-based control strategies; unmanned air vehicles; Analytical models; Clustering algorithms; Computer science; Genetics; Mathematical analysis; Object detection; Robustness; Surveillance; Unmanned aerial vehicles; Vehicle detection;
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
DOI :
10.1109/ICNSC.2005.1461318
