Otonoma

Distributed AI and Maritime Traffic

This project developed a distributed system for real-time tracking and prediction of trans-oceanic vessels using clipper race telemetry and AIS data. Built on the Paranet framework, this system enables dynamic communication across distributed nodes, including data ingestion, vessel nodes, and a marine overview interface. Beyond tracking, the team explored transformer-based models for trajectory prediction and investigated the integration of environmental factors such as wind and ocean currents. This work highlights both the challenges of limited maritime data and the potential for intelligent, predictive marine systems.