Ship motion planning is a core issue of autonomous navigation for maritime autonomous
surface ships (MASS). This paper proposes a novel model predictive artificial potential field …

With respect to navigation practices and real-ship applications, this study provided a stable
and reliable technical program for automatic ship navigation. First, an improved route-plan …

In this research, a hybrid approach for path planning of autonomous ships that generates
both global and local paths, respectively, is proposed. The global path is obtained via an …

Trajectory planning is one of the important technologies to ensure the safe navigation of the
unmanned ship. This paper presents a dynamic path planning method based on the multi …

This paper presents a real-time and deterministic path planning method for autonomous
ships or Unmanned Surface Vehicles (USV) in complex and dynamic navigation …

In this paper, combined with the improved artificial potential field (IAPF) method and the
nonlinear model predictive control (NMPC) algorithm, a collision avoidance decision-making …

Presently, there is increasing interest in autonomous ships to reduce human errors and
support intelligent navigation, where automatic collision avoidance and path planning is a …

A multi-ship collision avoidance decision-making and path planning formulation is studied in
a distributed way. This paper proposes a complete set of solutions for multi-ship collision …

It is essential to promote the intelligence and autonomy of Maritime Autonomous Surface
Ships (MASSs). This study proposed an automatic collision-avoidance method based on an …

This paper presents an autonomous trajectory planning algorithm for ships or unmanned
surface vehicles (USVs) to navigate safely in dynamic environments based on the modified …