To guarantee vessel traffic safety in inland waterways, the automatic identification system
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …

The automatic identification system (AIS) and video cameras have been widely exploited for
vessel traffic surveillance in inland waterways. The AIS data could provide vessel identity …

Visual object detection and tracking is a fundamental task in artificial intelligence and plays
a crucial role in various maritime applications, leading to enhanced maritime traffic safety …

Efficient maritime surveillance is necessary for navigation, which usually uses cameras to
capture the vessels. However, the information in camera-based data is limited. In this work …

Deep learning object detection methods, like YOLOv5, are effective in identifying maritime
vessels but often lack detailed information important for practical applications. In this paper …

In today's world, wherein more than 80% of world trade is carried out by maritime routes, the
safety and security of the seas where this trade takes place is of vast importance for nations …

Increasing vessel traffic in narrow, winding inland waterways has heightened the risk of
accidents, driving the need for improved surveillance and management. This study …

To ensure the safety of maritime traffic, it is crucial for cameras to capture a complete
appearance of moving vessels. However, in real marine environments, ships are often …

Recent advances, especially in deep learning, allow to effectively detect ship targets in
surveillance videos. However, the translation of these detections to the real-world locations …

With the rapid development of navigation technologies, maritime transportation has become
one of the mainstream international trade channels. However, a large number of maritime …