| Document
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Author Faye McCabe, Prof. Chris Baber & Prof. Robert Stone |
| Abstract Submarine Command Teams often rely on sensor systems such as sonar to gain situational awareness when operating below periscope depth. Classifying different vessels using broadband sonar relies on the analysis of aural characteristics to build up a target motion solution for each sonar contact. This process is inherently uncertain, and misclassification can be potentially fatal, resulting in collisions between vessels and submarines. This paper offers suggestions for artificially intelligent support which could be created and provided through the analysis of historically collected information about fishing vessels transmitted via satellite. These suggestions were formed through an interview with a subject matter expert and the analysis of a report compiled about a collision that occurred between a Royal Navy submarine and fishing vessel in 2015. |
