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 …

The influence of the maritime environment such as water currents, water depth, and traffic
separation rules should be considered when conducting ship path planning. Additionally …

The ability to avoid shorelines, reefs and moving ships or obstacles is the premise of
automatic navigation. For achieving the goal, conventional A star algorithm is improved to …

Abstract Developing Maritime Autonomous Surface Ship technology is a challenging task as
it requires the convergence of technologies in various fields, such as optimal route search …

Autonomous navigation on the open sea involving automatic collision avoidance and route
planning helps to ensure navigational safety. To judge whether all target ships (TSs) will …

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 …

A novel collision avoidance (CA) algorithm was proposed based on the modified artificial
potential field (APF) method, to construct a practical ship automatic CA system. Considering …

Unmanned surface vessel (USV) autonomous navigation on the open sea involving real-
time path planning and collision avoidance is still one of the essential problems to ensure …

Over the past two decades, a number of methods have been proposed for solving maritime
collision avoidance problems. Most of these works take a single ship's perspective and focus …

A traditional A-Star (A*) algorithm generates an optimal path by minimizing the path cost. For
a vessel, factors of path length, obstacle collision risk, traffic separation rule and …