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...
Main Authors: | Brito, Mario (Author), Griffiths, Gwyn (Author) |
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Format: | Article |
Language: | English |
Published: |
2016-02.
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Subjects: | |
Online Access: | Get fulltext |
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