The navigation accuracy of the ship can be improved by associating the output tracks of
radar with that of the automatic identification system (AIS). The traditional association …

Abstract Automatic Identification System (AIS) and radar track association is a challenging
subject in dense scenes in which there are some undesirable factors, such as multiple …

Automatic identification system (AIS) and radar have its own advantages and disadvantages
and employ track association and fusion to complement each other. This study proposes a …

The traditional track correlation methods have problems such as limitation of the application
scenarios, unstable performances and poor practicalities. To solve those problems, a new …

Abstract Traditional Track Segment Association (TSA) methods used track position vectors
or other track information to get association results. However, simply extracting the track …

Track interruption will cause serious interference to target tracking, situation awareness, and
information fusion. And it is often triggered by a variety of reasons, such as target maneuver …

Track‐to‐track association methods based on machine learning and deep learning have
greatly improved the association results, but the scope of application is limited by the poor …

Data, algorithms, and hash rates are the three thrust forces for developing artificial
intelligence. Considering the urgent demand for research on the intelligent association …

Existing track-to-track association methods are mainly based on statistics and fuzzy
mathematics. However, most methods based on statistics depend on thresholds, and …

Gradually crowded, complex airspace makes it necessary to identify the flight track patterns
of interested targets. Existing studies on radar-based target track recognition rarely consider …