A review of cooperative path planning of an unmanned aerial vehicle group

H Zhang, B Xin, L Dou, J Chen, K Hirota - Frontiers of Information …, 2020 - Springer
As a cutting-edge branch of unmanned aerial vehicle (UAV) technology, the cooperation of a
group of UAVs has attracted increasing attention from both civil and military sectors, due to …

Bio-inspired multi-UAV path planning heuristics: A review

F Aljalaud, H Kurdi, K Youcef-Toumi - Mathematics, 2023 - mdpi.com
Despite the rapid advances in autonomous guidance and navigation techniques for
unmanned aerial vehicle (UAV) systems, there are still many challenges in finding an …

Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation

P Keerthinathan, N Amarasingam… - … Journal of Remote …, 2023 - Taylor & Francis
Wildfire, also known as forest fire, is a common natural or man-made disaster that has
caused devastation to both man-made structures and natural ecosystems throughout the …

Learning-based anomaly detection and monitoring for swarm drone flights

H Ahn, HL Choi, M Kang, ST Moon - Applied Sciences, 2019 - mdpi.com
This paper addresses anomaly detection and monitoring for swarm drone flights. While the
current practice of swarm flight typically relies on the operator's naked eyes to monitor health …

Autonomous multi-UAV path planning in pipe inspection missions based on booby behavior

F Aljalaud, H Kurdi, K Youcef-Toumi - Mathematics, 2023 - mdpi.com
This paper presents a novel path planning heuristic for multi-UAV pipe inspection missions
inspired by the booby bird's foraging behavior. The heuristic enables each UAV to find an …

Mission Planning for Unmanned Aerial Vehicles Based on Voronoi Diagram‐Tabu Genetic Algorithm

W Tan, Y Hu, Y Zhao, W Li, X Zhang… - … and Mobile Computing, 2021 - Wiley Online Library
Unmanned aerial vehicles (UAVs) are increasingly used in different military missions. In this
paper, we focus on the autonomous mission allocation and planning abilities for the UAV …

[HTML][HTML] Optimizing Autonomous Multi-UAV Path Planning for Inspection Missions: A Comparative Study of Genetic and Stochastic Hill Climbing Algorithms

F Aljalaud, Y Alohali - Energies, 2024 - mdpi.com
Efficient path planning is vital for multi-UAV inspection missions, yet the comparative
effectiveness of different optimization strategies has not received much attention. This paper …

Path planning and task assignment for multiple UAVs in dynamic environments

S Biswas, SG Anavatti, MA Garratt - Unmanned Aerial Systems, 2021 - Elsevier
This chapter presents an effective approach to path planning combined with task
assignments for a group of unmanned aerial vehicles (UAVs). Path planning for a UAV is a …

Application of improved simulated annealing genetic algorithm in task assignment of swarm of drones

K Huang, Y Dong, DN Wang… - … Conference on Information …, 2020 - ieeexplore.ieee.org
In this paper, a mathematical model is established based on the characteristics of the task
assignment of the swarm of drones. The simulated annealing algorithm is introduced into the …

多无人机协同任务规划方法研究综述.

王建峰, 贾高伟, 郭正, 侯中喜 - Systems Engineering & …, 2024 - search.ebscohost.com
随着通信技术的发展, 未来多无人机系统将会朝向集群化, 自主化和智能化方向发展.
通过单元间的信息融合和能力互补, 多无人机系统可以打破自身能力壁垒 …