Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

Predicting ship trajectories is significant for early warning of potential collision and reducing
the probability of marine accidents. Previously, multi-ship trajectories prediction methods …

Collisions and groundings account for a great deal of fiscal losses and human risks in the
statistics of marine accidents related to ocean going vessels. With highly automated vessels …

Maritime traffic is increasing more and more, creating more complex navigation
environments for ships. Ship trajectory prediction based on historical AIS data is a vital …

Autonomous surface vessels comprise complex automated systems with advanced onboard
sensors. These help establish situation awareness and perform many of the complex tasks …

Predicting ship trajectories can effectively forecast navigation trends and enable the orderly
management of ships, which holds immense significance for maritime traffic safety. This …

This paper provides a collision avoidance perspective to maritime autonomy, in the shift
towards Maritime Autonomous Surface Ships (MASS). In particular, the paper presents the …

The extraction of ship behavior patterns from Automatic Identification System (AIS) data and
the subsequent prediction of travel routes play crucial roles in mitigating the risk of ship …

The encounter situation between marine vessels determines how they should navigate to
obey COLREGs, but time-varying and stochastic uncertainty in estimation of angles of …

Accurate prediction of ship trajectories can be an important capability for various maritime
transport applications, such as vessel traffic services (VTS), traffic flow assessment, and …