UAV ad hoc network routing algorithms in space–air–ground integrated networks: Challenges and directions

Y Lu, W Wen, KK Igorevich, P Ren, H Zhang, Y Duan… - Drones, 2023 - mdpi.com
With the rapid development of 5G and 6G communications in recent years, there has been
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …

Deep learning-based trajectory planning and control for autonomous ground vehicle parking maneuver

R Chai, D Liu, T Liu, A Tsourdos… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, a novel integrated real-time trajectory planning and tracking control framework
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …

Truck-drone team logistics: A heuristic approach to multi-drop route planning

PL Gonzalez-R, D Canca, JL Andrade-Pineda… - … Research Part C …, 2020 - Elsevier
Recently there have been significant developments and applications in the field of
unmanned aerial vehicles (UAVs). In a few years, these applications will be fully integrated …

A memetic path planning algorithm for unmanned air/ground vehicle cooperative detection systems

J Li, T Sun, X Huang, L Ma, Q Lin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The studies of Unmanned Air/Ground Vehicle (UAV/UGV) cooperative detection systems
have received much attention due to their wide applications in the disaster rescue, target …

Helicopter–UAVs search and rescue task allocation considering UAVs operating environment and performance

M Zhang, W Li, M Wang, S Li, B Li - Computers & Industrial Engineering, 2022 - Elsevier
The task allocation of unmanned aerial vehicles (UAVs) is important in UAV search and
rescue to guarantee an effective and orderly search and rescue activity. However, few …

Optimal routes and aborting strategies of trucks and drones under random attacks

R Yan, X Zhu, X Zhu, R Peng - Reliability Engineering & System Safety, 2022 - Elsevier
This paper is an attempt to explore optimal routes and aborting strategies of trucks and
drones under random attacks. Time windows of targets, aborting strategies of trucks and …

Trajectory optimization for drone logistics delivery via attention-based pointer network

F Kong, J Li, B Jiang, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Drone logistics delivery is a potential booster to redefine the logistics system efficiency,
which has been a new special hot research field. Among that, how to optimize drone …

Bipartite cooperative coevolution for energy-aware coverage path planning of UAVs

XX Shao, YJ Gong, ZH Zhan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The coverage path planning of unmanned aerial vehicles (UAVs) is a complex optimization
problem in practice, especially for those involving multiple target areas. It is challenging to …

Reducing negative transfer learning via clustering for dynamic multiobjective optimization

J Li, T Sun, Q Lin, M Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dynamic multiobjective optimization problems (DMOPs) aim to optimize multiple (often
conflicting) objectives that are changing over time. Recently, there are a number of …

Autonomous data collection with timed communication constraints for unmanned underwater vehicles

J McMahon, E Plaku - IEEE Robotics and Automation Letters, 2021 - ieeexplore.ieee.org
This letter studies the problem of data collection where an autonomous underwater vehicle
(AUV) is required to inspect several goals while staying within the communication range of …