DocumentCode :
578251
Title :
A robust and optimal search tactic using multiple looks
Author :
Nguyen, Bao U. ; Bourque, François-Alex
Author_Institution :
Centre for Operational Res. & Anal., Defence Res. Dev. Canada, Ottawa, ON, Canada
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
4297
Lastpage :
4304
Abstract :
We provide an optimal strategy for an autonomous vehicle to detect a target in a mine hunting operation or in a search & rescue mission. We assume that the target exhibits mirror symmetry. By mirror symmetry, we mean that the left hand side of a target is the mirror image of the right hand side of the same target, and the probability of detection is maximal when a target is viewed at zero degree while that probability is minimal when viewed at ninety degrees and is monotonous between the maximum and the minimum. The optimal strategy consists of choosing n look angles to inspect a target such that the probability of detection is maximal. We use a novel combination of variational calculus, symmetry principles, number theory and algebra to determine analytically the optimal angles. The solutions will help the operators plan for an effective strategy in a generic search and detection operation. Such a strategy is robust as most targets of interest possess approximate mirror symmetry.
Keywords :
algebra; landmine detection; military vehicles; mobile robots; number theory; probability; variational techniques; algebra; autonomous vehicle; maximal detection probability; mine hunting operation; minimal detection probability; mirror symmetry; number theory; optimal angle determination; optimal search tactic; optimal strategy; search and rescue mission; symmetry principles; target detection; variational calculus; Calculus; Equations; Mirrors; Mobile robots; Robustness; Sensors; Vegetation; Autonomous vehicles; multiple looks; optimization; search & detection; sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359202
Filename :
6359202
Link To Document :
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