Autonomous decision-making for ships to avoid collision is core to the autonomous
navigation of intelligent ships. In recent years, related research has shown explosive growth …

In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …

Abstract Maritime Autonomous Surface Ships (MASS) have obtained wide attention in recent
years, which is relied on their attractive socio-economic benefits and potential to improve …

Limitations are identified in the expressive capabilities of the deep feature extraction network
employed in deep reinforcement learning (DRL), particularly in complex scenarios …

Abstract Maritime Autonomous Surface Ships (MASS) have received increasing attention
from industrial practitioners, researchers, and policymakers because of industry 4.0 and the …

Preliminary research findings suggest that the successful integration of advanced
autonomous technologies in cargo ships could provide safer shipping and provide …

Maritime autonomous surface ships (MASS), presenting the future of maritime transport, are
attracting increasing attention from the international maritime community. The collision risk …

Autonomous ships require remote supervision from a human operator to ensure safety.
However, there are knowledge gaps concerning human factor influences on remote …

This article studies trajectory tracking and dynamic obstacle avoidance problems of
unmanned ships, and an event-triggered adaptive nonlinear model predictive control …

This research aims at supporting performance evaluation on the collision avoidance
algorithms programs that are to be implemented on autonomous ships. A comprehensive set …