from sensor fusion to command macrocognition - an integrated fusion model for submarines
Image source: Department of Defence
Key Points
- DAIRNet Theme: Autonomous Processing and Reasoning
- Acacia Systems and University of Adelaide (Australian Institute of Machine Learning)
- Point of contact: Mr Horden Wiltshire
The aim of this project is to develop deep learning methods that are able to fuse low- and high-level data from multiple sensors in the submarine control room environment, to provide the ability to better analyse Command Team decision making. In busy tactical environments it is easy for mistakes to occur and often difficult to identify in the frenzied activity. The ability to better identify where errors are made will lift Command Team decision making performance.
