The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

In the context of the rapid development of deep learning theory, predicting future motion
states based on time series sequence data of ship trajectories can significantly improve the …

The field of automatic collision avoidance for surface vessels has been an active field of
research in recent years, aiming for the decision support of officers in conventional vessels …

Inland waterways are characterized by various bends, complex intersections and high traffic
density. This complex inland navigation environment brings challenges to vessel traffic …

Accurate and reliable vessel trajectory prediction is challenging due to the highly non-linear,
intricate and stochastic features of maritime transport networks, but its solutions are vital for …

Vessel trajectory prediction supports navigation services and collision detection. To maintain
safety and efficiency in maritime transportation, vessel trajectory prediction is always an …

This work presents a novel data-driven modeling approach for the direct prediction of a
vessel's trajectory through the use of AIS data. The proposed method is based on radial …

As the driving force of global trade, it is essential to ensure the safety and security of
maritime transportation effectively. Due to human operators' physiology and experience …

The study proposes a comprehensive strategy for intelligent trajectory planning and energy
optimization within building energy systems to mitigate carbon emissions. The goal is to …

A trajectory is a sequence of observations in time and space, for examples, the path formed
by maritime vessels, orbital debris, or aircraft. It is important to track and reconstruct vessel …