The rapid development of artificial intelligence significantly promotes collision-avoidance
navigation of maritime autonomous surface ships (MASS), which in turn provides prominent …

Abstract Maritime Autonomous Surface Ships (MASS) have obtained much attention in
recent years. Navigation with human–machine cooperation is the core for L1–L3 MASS. In …

For the complex multi-ship encounter scenarios, this article proposes a dynamic collision
avoidance path planning algorithm based on the A-star algorithm and ship navigation rules …

Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one
of the best-known path planning algorithms. However, the traditional A* algorithm has some …

It is a key to making path planning for an amphibious unmanned surface vehicle (USV). A
global path planning algorithm based on double deep Q networks (DDQN) is proposed …

The slow convergence, excessive turning points and non-smooth path generation are
significant challenges in ship path planning by existing RRT-related algorithms. To address …

Ship collisions often result in huge losses of life, cargo and ships, as well as serious
pollution of the water environment. Meanwhile, it is estimated that between 75% and 86% of …

Abstract Maritime Autonomous Surface Ships (MASS) attract increasing attention in recent
years. Researchers aim at developing fully autonomous systems that replace the role of …

Traditional scenic route planning only considers the shortest path, which ignores the
information of scenic road conditions. As the most effective direct search method to solve the …

Life and property losses along environmental pollution caused by accidents in the
transportation of hazardous goods have raised serious concerns over the efficient handling …