Intelligent maritime situational awareness pursues an effective understanding of the majority
of the activities related to the maritime domain (impacting the safety, security, economy, or …

With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

The constant growth of maritime traffic leads to the need of automatic anomaly detection,
which has been attracting great research attention. Information provided by AIS (Automatic …

The global expansion of maritime activities and the development of the Automatic
Identification System (AIS) have driven the advances in maritime monitoring systems in the …

One of the critical applications of trajectory mining is Event Detection, where an automatized
task identifies the deviation of a vessel's movement from its standard route. Conventionally …

The maritime anomaly detection is an essential part for ensuring curity for any nation. The
ships in a sea follow a common route for a particular source and destination pair. This paper …

Nowadays, with the development of the maritime transportation industry, the safety of vessel
navigation has become an important issue. Vessel anomalous behavior analysis can detect …

Representing maritime traffic patterns and detecting anomalies from them are key to vessel
monitoring and maritime situational awareness. We propose a novel approach—referred to …

This paper presents a novel machine learning-based approach for detecting abnormal ship
movements using CCTV videos. Our method utilizes graph-based algorithms to analyze ship …

The development of autonomous ships is advancing, but ensuring their safe operation
remains a challenge. To aid safe operations, autonomous ships are expected to be …