Autonomous Threat Assessment and Maneuver Control for Unarmed Ships Using ML-Based Pirate Detection
This study proposes an end-to-end, machine-learning-driven maritime security system that combines a YOLOv8-based object-detection pipeline trained on an augmented dataset encompassing low-light and adverse-weather conditions with a probabilistic threat-level assessment module. By incorporating vessel characteristics su...