Machine learning-based maritime collision risk assessment and avoidance for autonomous vessels using AIS data
A machine learning-based framework is proposed, in which an Extreme Gradient Boosting (XGBoost) model replaces the theoretical D-S model for Collision Risk Indicator (CRI) estimation, which indicates that the proposed method supports efficient and scalable real-time collision risk management for autonomous maritime nav...