[HTML][HTML] Optimization methods applied to motion planning of unmanned aerial vehicles: A review

A Israr, ZA Ali, EH Alkhammash, JJ Jussila - Drones, 2022 - mdpi.com
A system that can fly off and touches down to execute particular tasks is a flying robot.
Nowadays, these flying robots are capable of flying without human control and make …

[HTML][HTML] Holistic review of UAV-centric situational awareness: Applications, limitations, and algorithmic challenges

S MahmoudZadeh, A Yazdani, Y Kalantari, B Ciftler… - Robotics, 2024 - mdpi.com
This paper presents a comprehensive survey of UAV-centric situational awareness (SA),
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …

UAV path planning using optimization approaches: A survey

A Ait Saadi, A Soukane, Y Meraihi… - … Methods in Engineering, 2022 - Springer
Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Metaheuristic optimization-based path planning and tracking of quadcopter for payload hold-release mission

E Belge, A Altan, R Hacıoğlu - Electronics, 2022 - mdpi.com
Under harsh geographical conditions where manned flight is not possible, the ability of the
unmanned aerial vehicle (UAV) to successfully carry out the payload hold–release mission …

Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning

Z Han, M Chen, S Shao, Q Wu - Aerospace Science and Technology, 2022 - Elsevier
Aiming at producing a high-quality flight path for the unmanned autonomous helicopter with
multi-constraints, a path planning method is proposed based on the multi-strategy …

Conflict-free four-dimensional path planning for urban air mobility considering airspace occupancy

W Dai, B Pang, KH Low - Aerospace Science and Technology, 2021 - Elsevier
Urban air mobility (UAM) has attracted the attention of aircraft manufacturers, air navigation
service providers and governments in recent years. Preventing the conflict among urban …

Robust leaderless time-varying formation control for nonlinear unmanned aerial vehicle swarm system with communication delays

Y Kang, D Luo, B **n, J Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the tracking-oriented robust leaderless time-varying formation (TVF)
control problem for unmanned aerial vehicle swarm systems (UAVSSs) with Lipschitz …

Multi-UAV cooperative trajectory planning based on many-objective evolutionary algorithm

H Bai, T Fan, Y Niu, Z Cui - Complex System Modeling and …, 2022 - ieeexplore.ieee.org
The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient
UAV mission execution. Existing studies have mainly transformed this problem into a single …

Control-oriented UAV highly feasible trajectory planning: A deep learning method

Y Liu, H Wang, J Fan, J Wu, T Wu - Aerospace Science and Technology, 2021 - Elsevier
The highly feasible trajectory planning of unmanned aerial vehicle (UAV) is very important in
some tasks but has not yet attracted sufficient study attention. Most current studies use …

Learning-based fixed-wing UAV reactive maneuver control for obstacle avoidance

J Wu, H Wang, Y Liu, M Zhang, T Wu - Aerospace Science and Technology, 2022 - Elsevier
Complex 3D obstacle environments raise high requirements of the rapid reaction capability
and safety aiming at the maneuver control for obstacle avoidance (MCOA) of fixed-wing …