A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture
Multi-rotor Unmanned Aerial Vehicles (UAVs), although originally designed and developed
for defence and military purposes, in the last ten years have gained momentum, especially …
for defence and military purposes, in the last ten years have gained momentum, especially …
Autonomous UAV path planning using modified PSO for UAV-assisted wireless networks
Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for
providing reliable and cost-effective communication due to the flexibility of deployment and …
providing reliable and cost-effective communication due to the flexibility of deployment and …
From PID to swarms: A decade of advancements in drone control and path planning-A systematic review (2013–2023)
This systematic literature review synthesizes and evaluates existing research on drone
control and path planning, encompassing the principles of swarm intelligence and nature …
control and path planning, encompassing the principles of swarm intelligence and nature …
Online path planning framework for UAV in rural areas
G Airlangga, A Liu - IEEE Access, 2022 - ieeexplore.ieee.org
A motion strategy plays an important role in supporting autonomous Unmanned Aerial
Vehicle (UAV) movement. Many studies have been conducted to improve the motion …
Vehicle (UAV) movement. Many studies have been conducted to improve the motion …
Energy-Efficient Internet of Drones Path-Planning Study Using Meta-Heuristic Algorithms
The increasing popularity of unmanned aerial vehicles (UAVs), commonly known as drones,
in various fields is primarily due to their agility, quick deployment, flexibility, and excellent …
in various fields is primarily due to their agility, quick deployment, flexibility, and excellent …
Distributed contribution-based quantum-behaved particle swarm optimization with controlled diversity for large-scale global optimization problems
Many cooperative coevolution optimization algorithms have been proposed recently for
solving large-scale global optimization problems. These algorithms first decompose a large …
solving large-scale global optimization problems. These algorithms first decompose a large …
3d path planning of unmanned aerial vehicle based on improved grey wolf optimization algorithm
X Liu, Y Long, T Li, T Huang - 2022 China Automation …, 2022 - ieeexplore.ieee.org
Aiming at the problem of unmanned aerial vehicle's (UAV) path planning in complex
battlefield environment, this paper proposes an improved grey wolf optimization algorithm …
battlefield environment, this paper proposes an improved grey wolf optimization algorithm …
A UAV Path Planning Method in Three-Dimensional Urban Airspace based on Safe Reinforcement Learning
Y Li, X Zhang, Y Zhu, Z Gao - 2023 IEEE/AIAA 42nd Digital …, 2023 - ieeexplore.ieee.org
Under the demand of urban terminal" Last Mile Delivery" scenario, finding a safe and
efficient UAV path planning method is a crucial issue of current research. Nowadays …
efficient UAV path planning method is a crucial issue of current research. Nowadays …
Path Planning Algorithms for Unmanned Aircraft Systems with a Space-Time Graph
A Steinberg - 2021 - search.proquest.com
Abstract Unmanned Aircraft Systems (UAS) have grown in popularity due to their
widespread potential applications, including efficient package delivery, monitoring …
widespread potential applications, including efficient package delivery, monitoring …
Two-phase heat transfer microchannel system identification with Particle Swarm Optimization (PSO) approach
The complex behavior of two-phase flow particularly in microchannels can be unpredictable.
Experimental measurements are near impossible because of the unavailable compatible …
Experimental measurements are near impossible because of the unavailable compatible …