Unmanned aerial vehicles (UAVs) with limited field of view are utilized to track a moving
ground target continuously in urban environment. In urban environment, the sight lines of …

In recent years, unmanned aerial vehicles (UAVs) have become a popular and cost-effective
technology in urban scenarios, encompassing applications such as material transportation …

Unmanned aerial vehicles (UAVs) are an emerging technology with the potential to
revolutionize commercial industries and the public domain outside of the military. UAVs …

Accurate and fast detection of the moving targets from a moving camera are an important yet
challenging problem, especially when the computational resources are limited. In this paper …

With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel
numerous important applications in computer vision, delivering more efficiency and …

Communication is the cornerstone of UAV swarms to transmit information and achieve
cooperation. However, artificially designed communication protocols usually rely on prior …

Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular thanks to the
multiplicity of operations in which they can be deployed such as surveillance, search and …

In recent years, deep reinforcement learning (DRL) has proved its great potential in multi-
agent cooperation. However, how to apply DRL to multi-target tracking (MTT) problem for …

A distributed approach is proposed for planning a cooperative tracking task for a team of
heterogeneous unmanned aerial vehicles (UAVs) tracking multiple predictable ground …

An emerging urban challenge will be the proliferation of Remotely Piloted Aircraft Systems
(RPAS) or drones, as their usage grows and drones fill the urban skies. Urban airspace will …