A Bayesian approach to predicting risk of loss during Autonomous Underwater Vehicle missions

Autonomous Underwater Vehicles (AUVs) are effective platforms for science research and monitoring, and for military and commercial data-gathering purposes. However, there is an inevitable risk of loss during any mission. Quantifying the risk of loss is complex, due to the combination of vehicle reli...

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Bibliographic Details
Main Authors: Brito, Mario (Author), Griffiths, Gwyn (Author)
Format: Article
Published: 2016-02.
Online Access:Get fulltext

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