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: | , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | https://eprints.soton.ac.uk/69181/ https://eprints.soton.ac.uk/69181/1/A%2520BayesianApproach%2520to%2520Predicting%2520Risk%2520of%2520AUV%2520Loss%2520During%2520their%2520Missions.pdf |