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[HTML][HTML] Optimization methods applied to motion planning of unmanned aerial vehicles: A review
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 …
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
This paper presents a comprehensive survey of UAV-centric situational awareness (SA),
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …
UAV path planning using optimization approaches: A survey
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 …
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
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 …
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 …
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
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 …
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
This article investigates the tracking-oriented robust leaderless time-varying formation (TVF)
control problem for unmanned aerial vehicle swarm systems (UAVSSs) with Lipschitz …
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 …
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 …
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 …
and safety aiming at the maneuver control for obstacle avoidance (MCOA) of fixed-wing …