This chapter focuses on two key metrics that characterize the efficiency and effectiveness of autonomous underwater vehicles (AUVs) in such operations. The first metric is the confidence that mines are or are not present in the search area. The second is the time required to achieve that confidence level. It is assumed that the AUV carries a side‐scan sonar. The mine‐hunting environment plays an important role in the performance of side‐scan sonar, as it does for any mine countermeasures (MCM) sensor. The chapter examines search patterns, including lawn‐mowing, zigzagging, and random searches. The measures of effectiveness (MOEs) of the first two patterns were evaluated through the use of a stochastic model and a deterministic one, whose outcomes were verified to be consistent. Based on the assumed measures of performance (MOPs), the chapter demonstrates that the 2MU search pattern provides the best probability of detection as a function of search time.
Considering Mine Countermeasures Exploratory Operations Conducted by Autonomous Underwater Vehicles
08.04.2016
21 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
COLLABORATIVE AUTONOMOUS VEHICLE USE IN MINE COUNTERMEASURES
British Library Online Contents | 2010
|Autonomous Underwater Vehicles for Scientific and Naval Operations
British Library Conference Proceedings | 2005
|Attack Models and Countermeasures for Autonomous Vehicles
Springer Verlag | 2021
|Online Contents | 1994
|