Interface Design for Small Vessels in Autonomous Navigation Systems

As the development of MASS(Maritime Autonomous Surface Ships) progresses, AI(artificial intelligence)-based systems have become a cornerstone of autonomous navigation technologies. However, the complexity and unpredictability of the marine environment limit the reliability of AI-based decision-making. Consequently, even with the advancement of autonomous ship technologies, interfaces that enable continuous monitoring of AI systems and allow human intervention when necessary remain essential. This study focuses on the design and implementation of a tablet-based interface for small vessels, enabling real-time visualization of AI decisionmaking processes. The interface supports users in monitoring and intervening as required, thereby enhancing the safety and efficiency of autonomous navigation. By addressing these challenges, the proposed interface aims to ensure a reliable operational environment for autonomous ships, even under fully autonomous conditions.