Deep and probabilistic intent classifiers (HMMs, LSTMs, Transformers) for early vessel behavior prediction in adversarial maritime scenarios.
Feb 1, 2025

Forthcoming FMLDS 2025 paper on feature-aware deep learning for maritime intent recognition.
Jan 1, 2025

We introduce a Unity-based naval simulator for maritime training that supports complex multi-vessel scenarios, real-time threat assessment, and intent recognition. The system models vessel capabilities, renders vulnerability and CPA-based action heatmaps, fuses them into a dynamic threat map, and uses HMMs to infer other agents’ intentions.
Aug 28, 2024

Unity-based naval simulator with multi-agent scenarios, threat/vulnerability heatmaps, and ML-driven intent recognition for maritime research.
Aug 1, 2024