Artificial Intelligence and Its Applications in Intelligent Ship Navigation

Dear Colleagues,

As artificial intelligence (AI) continues to develop, autonomous ships have attracted increased amounts of attention with the intention of downsizing the number of staff, increasing efficiency, etc. The deep learning or reinforcement learning network allows more possibilities to improve the intelligence level of ship navigation, which could realize human-like performance in the process of environment perception, decision-making, collision avoidance, and motion control (including berthing and unberthing). Therefore, AI in intelligent ship navigation can boost more applications to assist and even replace officers on board, which is the trend in future autonomous ships in inland waterways and oceans.

In this Special Issue, we welcome contributions from a broad range of theoretical, modeling, field, and laboratory research focused on processes that affect intelligent ships, including, but not limited to, the following topics:

• Ship intelligent perception with radar, camera, AIS, etc., alone or in combination for the ship navigation environment;
• Deep learning network for decision-making of ship navigation;
• Ship navigation behavior analysis;
• Situation awareness analysis and prediction;
• Human–machine cooperative navigation;
• Intelligent collision avoidance with complex encounter scenarios;
• Ship motion planning with reinforcement learning or other AI algorithms;
• Ship motion prediction and control, including sailing and berthing;
• Shore-based remote control;
• Testing of intelligent ship navigation.

Dr. Chenguang Liu
Prof. Dr. Jialun Liu
Prof. Dr. Xiumin Chu
Dr. Xiao Lang
Guest Editors

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