Unmanned aerial vehicles (UAVs) are very popular and increasingly used in different
applications. Today, the use of multiple UAVs and UAV swarms are attracting more interest …

This article considers the 3-D collaborative trajectory optimization (CTO) of multiple
unmanned aerial vehicles to improve multitarget tracking performance with an …

In recent years, demand has been increasing for target detection and tracking from aerial
imagery via drones using onboard powered sensors and devices. We propose a very …

In this paper, we present a decentralized multitarget tracking system for cooperative
unmanned aerial vehicles (UAVs) with limited sensing capabilities. The proposed system …

With the development of better links, enhanced coverage, comprehensive data resources,
and network system stability, the cooperative network formed by wireless sensor networks …

A quadrotor unmanned aerial vehicle (UAV) should have the ability to perform real-time
target tracking and path planning simultaneously even when the target enters unstructured …

Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding
autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms …

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 …

With the development of smart cities, video surveillance has become more prevalent in
urban areas. The rapid growth of data brings challenges to video processing and analysis …

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 …