- Underwater docking
- Classification of sonar data with deep learning
- Vehicle system performance optimisation
- Hydrobatics simulator
- Autonomous underwater perception
- Underwater navigation
- Robust, flexible and transparent mission planning and execution
- Multi-agent mission planning and execution
- Air-independent energy storage
- Autonomous situation awareness and world modeling
- Underwater communication
- Networking
- Demonstrator program
Description
The aim of this project is to develop machine learning and sensing for underwater applications. One part is to develop chemical sensors for detection of low concentrations of substances in water and sediments. Also, to develop the algorithms for automatic classification of multiple sensor signals to be integrated in navigation.
People
Katarina Abrahamsson
Professor Department of Marine Sciences, University of Gothenburg – Project leader
