Artificial intelligence is an enabling technology for autonomous surface vehicles, with
methods such as evolutionary algorithms, artificial potential fields, fast marching methods …

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

Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

Collision prevention is critical for navigation safety at sea. At early ages, researchers aimed
at developing navigational assistance systems for enhancing situational awareness of …

Collision accidents may lead to significant asset damage and human casualties. This paper
introduces a direct analysis methodology that makes use of Automatic Identification System …

Unmanned maritime systems are evolving in a rapidly changing environment. Although the
regulation and international law processes are still in progress, there are numerous …

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

Social interest in autonomous navigation systems for autonomous ships is also increasing.
For a robust autonomous navigation system, the location, speed, and direction of the ship …

Collision avoidance algorithms for autonomous ships are frequently proposed, but very few
studies consider the interaction and information exchange between ships, and if they do, this …

AIS data include ship spatial-temporal and motion parameters which can be used to
excavate the deep-seated information. In this article, an interpretable knowledge-based …