Although neural networks have seen tremendous success as predictive models in a variety
of domains, they can be overly confident in their predictions on out-of-distribution (OOD) …

Automatic identification system (AIS) is a vessel-based system for the automatic broadcast
and reception of vessel information, and it also supports data for trajectory prediction. Since …

Recent deep learning methods for vessel trajectory prediction are able to learn complex
maritime patterns from historical automatic identification system (AIS) data and accurately …

Vessel trajectory prediction plays a vital role in maintaining a safe and effective status in
maritime transportation. The development of deep learning provides appropriate …

Vessel trajectory prediction using AIS data plays an important role in maritime navigation
warning and safety. A key aspect of trajectory prediction is multimodal because of the …

The establishment of ship trajectory prediction is critical in analyzing trajectory data. It serves
as a critical reference point for identifying abnormal behavior and potential collision risks for …

Abstract According to the Global Maritime Insurance annual report, among human and non-
human risk factors, the number of accidents in maritime transport remains a significant issue …

Vessel trajectory prediction is the key to maritime applications such as traffic surveillance,
collision avoidance, anomaly detection, and so on. Making predictions more precisely …

We study the performance of Machine Learning (ML) classification techniques. Leveraging
the theory of large deviations, we provide the mathematical conditions for a ML classifier to …

Maneuvering target tracking, where the system undergoes abrupt changes in the underlying
motion model, can be challenging. We propose a model-based deep learning approach for …