Recently, research concerning the navigation of autonomous surface vehicles (ASVs) has
been increasing. However, a large-scale implementation of these vessels is still held back …

This paper addresses cooperative target tracking of a moving ground vehicle using a fleet of
unmanned aerial vehicles (UAVs). This work extends our earlier results on two aspects …

Aiming at the difficulty of sensor resource assignment in multi-target collaborative tracking
under low detection probability, a strategy for sensor-target assignment is proposed. Firstly …

In order to analyze fish behavior, real-time underwater fish monitoring is essential. This work
presents an underwater multi-target tracking algorithm for aquaculture monitoring, utilizing …

This paper investigates a hierarchical target tracking method based on the collaboration of
unmanned aerial vehicles (UAVs) at different altitudes. To enhance the target tracking …

Unmanned surface vehicles (USVs) offer significant value through their capability to
undertake hazardous and time-consuming missions across water surfaces. Recently, as the …

In this paper, a deep learning-based underwater positioning scheme is proposed to achieve
robust feature tracking of an autonomous underwater vehicle (AUV) in sonar image during …

In marine surveillance, distinguishing between normal and anomalous vessel movement
patterns is critical for identifying potential threats in a timely manner. Once detected, it is …

This thesis introduces the use of Machine Learning, specifically Reinforcement Learning, to
create a model-free tracking property for Remotely Operated Vehicles (ROV). In detail, the …

This study proposes a UAV target tracking method using reinforcement learning algorithm
combined with Gate Recurrent Unit (GRU) to promote UAV target tracking and visual …