Joint training and resource allocation optimization for federated learning in UAV swarm

Y Shen, Y Qu, C Dong, F Zhou… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used to perform search and tracking
tasks in military and civil fields. To perform these tasks autonomously, a swarm of multiple …

Multi-UAV trajectory planning during cooperative tracking based on a Fusion Algorithm integrating MPC and standoff

B Li, C Song, S Bai, J Huang, R Ma, K Wan, E Neretin - Drones, 2023 - mdpi.com
In this paper, an intelligent algorithm integrating model predictive control and Standoff
algorithm is proposed to solve trajectory planning that UAVs may face while tracking a …

Aerial video trackers review

J Jia, Z Lai, Y Qian, Z Yao - Entropy, 2020 - mdpi.com
Target tracking technology that is based on aerial videos is widely used in many fields;
however, this technology has challenges, such as image jitter, target blur, high data …

A low complexity persistent reconnaissance algorithm for FANET

Y Guo, H Tang, R Qin - Sensors, 2022 - mdpi.com
In recent years, with the rapid progress of unmanned aerial vehicle (UAV) technology, UAV-
based systems have been widely used in both civilian and military applications …

Joint Trajectory Planning and Transmit Resource Optimization for Multi-Target Tracking in Multi-UAV-Enabled MIMO Radar System

J Yang, B Wang, Z Chang, Y Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-target tracking (MTT) plays a significant role in intelligent transportation systems,
serving as an enabling technology for applications such as self-driving, surveillance, and …

A Collaborative Relay Tracking Method Based on Information Fusion for UAVs

Y He, H Guo, X Li, Z Lu, X Li - IEEE Transactions on Aerospace …, 2023 - ieeexplore.ieee.org
In this article, a collaborative relay tracking method based on information fusion is proposed
for unmanned aerial vehicles (UAVs). Target matching is performed by combining the …

[HTML][HTML] Autonomous Systems for Defense Applications

I Daramouskas, V Lappas… - Autonomous Vehicles …, 2023 - intechopen.com
The numerous advantages of using UAV platforms, alongside with recent scientific
developments in the field of autonomous vehicles in general and the lower production costs …

MG2FL: Multi-Granularity Grouping-Based Federated Learning in Green Edge Computing Systems

Z Dai, Y Zhao, C Qiu, X Wang… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) has become a common method for edge devices. Due to the
limited energy capacity of edge devices, and the vulnerability of FL to malicious attacks from …

基于优化A* 和MPC 融合算法的三维无人机航迹规划.

宋超, 李波, 马云红, 黄晶益 - Systems Engineering & …, 2023 - search.ebscohost.com
针对传统A 算法在二维无人机(unmannedaerialvehicle, UAV) 航迹规划中存在的不足,
提出了一种优化A 算法与模型预测控制融合的三维UAV 航迹规划方法. 通过压缩搜索空间和 …

Versatile formation patterns for cooperative target tracking using ground vehicles

L Ma - International Journal of Computational Vision and …, 2023 - inderscienceonline.com
In this paper, we investigate the cooperative target tracking problem using a group of
autonomous mobile robots. By introducing a tracking control component to existing pursuit …