Interface Design for Small Vessels in Autonomous Navigation Systems


연구 분야: Artificial Intelligence



학회: 2025 6th International Conference on Machine Learning and Human-Computer Interaction (MLHMI)


초록

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.


Author Profile
Ryota Imai

Graduate School of Marine Science and Technology Tokyo University of Marine Science and Technology Tokyo Japan

Andorra
Author Profile
Atsushi Ishibashi

Department of Maritime Systems Engineering Tokyo University of Marine Science and Technology Tokyo Japan

Andorra
Author Profile
Takahiro Takemoto

Department of Maritime Systems Engineering Tokyo University of Marine Science and Technology Tokyo Japan

Andorra

📄 논문 정보

발행 연도 2025년
인용수 7
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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