Internet of drones security: Taxonomies, open issues, and future directions
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …
have opened the horizon for a vast array of applications and paved the way for a diversity of …
A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …
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 …
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …
Overview of path-planning and obstacle avoidance algorithms for UAVs: A comparative study
M Radmanesh, M Kumar, PH Guentert… - Unmanned systems, 2018 - World Scientific
Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …
their numerous potential civilian applications. However, current robot navigation …
Route planning for unmanned aerial vehicle (UAV) on the sea using hybrid differential evolution and quantum-behaved particle swarm optimization
Y Fu, M Ding, C Zhou, H Hu - IEEE Transactions on Systems …, 2013 - ieeexplore.ieee.org
This paper presents a hybrid differential evolution (DE) with quantum-behaved particle
swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route planning on the …
swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route planning on the …
Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV
Y Fu, M Ding, C Zhou - … on Systems, Man, and Cybernetics-Part …, 2011 - ieeexplore.ieee.org
A new variant of particle swarm optimization (PSO), named phase angle-encoded and
quantum-behaved particle swarm optimization (θ-QPSO), is proposed. Six versions of θ …
quantum-behaved particle swarm optimization (θ-QPSO), is proposed. Six versions of θ …
[HTML][HTML] Intelligent beetle antennae search for UAV sensing and avoidance of obstacles
Based on a bio-heuristic algorithm, this paper proposes a novel path planner called obstacle
avoidance beetle antennae search (OABAS) algorithm, which is applied to the global path …
avoidance beetle antennae search (OABAS) algorithm, which is applied to the global path …
A comparison of optimization techniques for AUV path planning in environments with ocean currents
To date, a large number of optimization algorithms have been presented for Autonomous
Underwater Vehicle (AUV) path planning. However, little effort has been devoted to compare …
Underwater Vehicle (AUV) path planning. However, little effort has been devoted to compare …
Geometric reinforcement learning for path planning of UAVs
We proposed a new learning algorithm, named Geometric Reinforcement Learning (GRL),
for path planning of Unmanned Aerial Vehicles (UAVs). The contributions of GRL are as:(1) …
for path planning of Unmanned Aerial Vehicles (UAVs). The contributions of GRL are as:(1) …
Evolutionary collaborative human-UAV search for escaped criminals
The use of unmanned aerial vehicles (UAVs) for target searching in complex environments
has increased considerably in recent years. The numerous studies on UAV search methods …
has increased considerably in recent years. The numerous studies on UAV search methods …