Multi-agent cooperative target tracking plays a significant role in distributed artificial
intelligence for unmanned aerial vehicle (UAV) systems. Most existing tracking solutions …

Past few years have witnessed the widespread adoption of unmanned aerial vehicles
(UAVs) in target tracking for regional monitor and strike. Most existing target tracking …

In this paper, we focus on the study of UAV ground target tracking under obstacle
environments using deep reinforcement learning, and an improved deep deterministic policy …

With the advantages of easy deployment and flexible usage, unmanned aerial vehicle (UAV)
has advanced the multitarget tracking (MTT) applications. The UAV-MTT system has great …

In this paper, we aim to design an autonomous tracking system for a swarm of unmanned
aerial vehicles (UAVs) to localize a radio frequency (RF) mobile target. In the system, UAVs …

Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …

Abstract Recently, cooperative Unmanned Aerial Vehicles (UAVs) have been used in
several complex military and civilian applications. Mobile Target Search (MTS) and Mobile …

In recent years, deep reinforcement learning (DRL) has developed rapidly and has been
applied to multi-UAV target tracking (MTT) research. However, DRL still faces challenges in …

The research into the tracking methods of unmanned aerial vehicles (UAVs) for agile targets
is multi-disciplinary, with important application scenarios. Using a quadrotor as an example …

Real-time tracking of the dynamic intrusion targets consists of two crucial factors: the path
forecast of the target and real-time path optimization of multi-UAV target tracking. For the first …