Publications
- Collision Risk Assessment and Forecasting on Maritime Data
- Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
- Evaluation of Ship Energy Models and Route Optimization
- Approvable AI for Autonomous Ships: Challenges and Possible Solutions
- Ship Route Optimization Using Hybrid Physics-Guided Machine Learning Read publication
- Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness Read publication
- Deep Representation Learning-Based Vessel Trajectory Clustering for Situation Awareness in Ship Navigation
Other
- Supporting Remote Operation Centres for Unmanned Ships Through Machine Learning- Based Route Prediction
- Autoencoder-Based Anomaly Detection for Safe Autonomous Ship Operations
- En «KI-kaptein» på fregatten ville neppe unngått kollisjon
- Ship Route Optimization Using Hybrid Physics-Guided Machine Learning
- Methodology for Approval of Autonomous Ship System CONOPS
- Evaluation of Ship Energy Models and Route Optimization