EnvClus* is an unsupervised data-driven framework that forecasts the most probable realistic and smooth trajectory from a given query position of a vessel (entire route or underway forecasting) towards its destination port. read more of EnvClus*: Extracting Common Pathways for Effective Vessel Trajectory Forecasting

Digital twins serve as virtual representations of physical environments that are increasingly valuable across various sectors, including maritime operations. The complexity of monitoring vessel traffic through the Automatic Identification System (AIS), de... read more of A Scalable System for Maritime Route and Event Forecasting

The development of solutions and models for the analysis, early detection and mitigation of vessel collision events is a significant step towards ensuring future maritime safety. In this context, a synthetic vessel proximity event dataset is created using... read more of Synthetic AIS Dataset of Vessel Proximity Events