Research on autonomous ships has been progressing rapidly in recent years, aiming to enhance safety and efficiency in marine transportation.
However, collision avoidance with fishing vessels remains a particularly difficult challenge for autonomous navigation algorithms because of their irregular movements and diverse operating patterns.
This study focuses on evaluating the maneuvering behavior of a powered vessel encountering fishing vessels.
Simulator-based experiments were conducted using multiple encounter scenarios that reflected actual fishing activities, and avoidance maneuvers were analyzed based on the responses of student participants.
The results and expert evaluations were compared to identify tendencies in appropriate and inappropriate avoidance behaviors.
These findings are expected to provide fundamental insights for establishing evaluation criteria and improving future collision-avoidance algorithms for autonomous ships.
