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.
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.
| Original language | English |
|---|---|
| Title of host publication | Contemporary Ergonomics & Human Factors 2020 Conference Proceedings |
| Chapter | EHF 2020 Intelligent Vehicles |
| Pages | 78-85 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-9996527-2-2 |
| Publication status | Published - Apr 2020 |