UAV formation trajectory planning algorithms: A review
Y Yang, X **ong, Y Yan - Drones, 2023 - mdpi.com
With the continuous development of UAV technology and swarm intelligence technology, the
UAV formation cooperative mission has attracted wide attention because of its remarkable …
UAV formation cooperative mission has attracted wide attention because of its remarkable …
Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …
convenient, and environmentally friendly mode of transportation than traditional vehicles …
Particle swarm optimization or differential evolution—A comparison
AP Piotrowski, JJ Napiorkowski… - Engineering Applications of …, 2023 - Elsevier
In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Siamese object tracking for unmanned aerial vehicle: A review and comprehensive analysis
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …
applications and attracted increasing attention in the field of artificial intelligence (AI) …
Multi-UAV collaborative absolute vision positioning and navigation: a survey and discussion
P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
Drone swarm strategy for the detection and tracking of occluded targets in complex environments
Drone swarms can achieve tasks via collaboration that are impossible for single drones
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …
A multi-strategy surrogate-assisted competitive swarm optimizer for expensive optimization problems
Evolutionary computation is a powerful tool for solving nonconvex optimization problems.
Generally, evolutionary algorithms take numerous fitness evaluations to obtain the potential …
Generally, evolutionary algorithms take numerous fitness evaluations to obtain the potential …
Towards resilient UAV swarms—A breakdown of resiliency requirements in UAV swarms
UAVs have rapidly become prevalent in applications related to surveillance, military
operations, and disaster relief. Their low cost, operational flexibility, and unmanned …
operations, and disaster relief. Their low cost, operational flexibility, and unmanned …
[HTML][HTML] Distributed dynamic task allocation for unmanned aerial vehicle swarm systems: A networked evolutionary game-theoretic approach
Z Zhang, J Jiang, XU Haiyan, WA Zhang - Chinese Journal of Aeronautics, 2024 - Elsevier
Task allocation is a key aspect of Unmanned Aerial Vehicle (UAV) swarm collaborative
operations. With an continuous increase of UAVs' scale and the complexity and uncertainty …
operations. With an continuous increase of UAVs' scale and the complexity and uncertainty …
A comprehensive survey on artificial intelligence for unmanned aerial vehicles
Artificial Intelligence (AI) is an emerging technology that finds its application in various
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …
industries. Integration of AI in Unmanned Aerial Vehicles (UAVs) can lead to tremendous …