Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

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 aim to design a fully-distributed control solution to navigate a group of
unmanned aerial vehicles (UAVs), as the mobile Base Stations (BSs) to fly around a target …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …

In this article, we propose a novel deep reinforcement learning (DRL) approach for
controlling multiple unmanned aerial vehicles (UAVs) with the ultimate purpose of tracking …

Recently, Siamese trackers have gained widespread attention in visual tracking due to their
exceptional performance. However, many trackers still suffer from limitations in challenging …

In a dynamic environment, moving to the destination safely and effectively is of paramount
importance for an unmanned ground vehicle (UGV). This article presents a strategy of …