The development of light detection and ranging (lidar) technology began in the 1960s,
following the invention of the laser, which represents the central component of this system …

Autonomous vehicles contain many sensors, enabling them to drive by themselves.
Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with …

The maritime industry is following the trend of increased autonomy and digitalisation applied
in aviation, automotive, military, and chemical industries. Maritime autonomous and …

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 …

Despite the pursued autonomous ships initiatives, the lack of information on emerging
technologies and their costs along with the limited investigations of the autonomy effects on …

Automatic identification systems (AIS) provides massive ship trajectory data for maritime
traffic management, route planning, and other research. In order to explore the valuable ship …

Traditional methods of marine navigation are undergoing a revolution brought about by the
almost universal adoption of the Automatic Identification System (AIS). AIS exchanges a …

For developing national maritime traffic routes through the coastal waters of Korea, the
customary maritime traffic flow must be accurately identified and quantitatively evaluated. In …

In the real world, unmanned surface vehicles (USV) often need to coordinate with each other
to accomplish specific tasks. However, achieving cooperative control in multi-agent systems …

This paper introduces a novel deep learning architecture for identifying outliers in the
context of intelligent transportation systems. The use of a convolutional neural network with …