Unmanned aerial vehicles for search and rescue: A survey

M Lyu, Y Zhao, C Huang, H Huang - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

Review of some applications of unmanned aerial vehicles technology in the resource-rich country

RI Mukhamediev, A Symagulov, Y Kuchin, E Zaitseva… - Applied Sciences, 2021 - mdpi.com
The use of unmanned aerial vehicles (UAVs) in various spheres of human activity is a
promising direction for countries with very different types of economies. This statement refers …

Reinforcement learning for UAV attitude control

W Koch, R Mancuso, R West, A Bestavros - ACM Transactions on Cyber …, 2019 - dl.acm.org
Autopilot systems are typically composed of an “inner loop” providing stability and control,
whereas an “outer loop” is responsible for mission-level objectives, such as way-point …

A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning

C Qu, W Gai, J Zhang, M Zhong - Knowledge-Based Systems, 2020 - Elsevier
Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV
mission planning system, which needs to obtain optimal route in the complicated field. To …

Deep reinforcement learning attitude control of fixed-wing UAVs using proximal policy optimization

E Bøhn, EM Coates, S Moe… - … on unmanned aircraft …, 2019 - ieeexplore.ieee.org
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in
their flight envelope as compared to experienced human pilots, thereby restricting the …

A survey on 5G/6G, AI, and Robotics

L Qiao, Y Li, D Chen, S Serikawa, M Guizani… - Computers and Electrical …, 2021 - Elsevier
The development of various fields of computer is constantly improving people's lives. In
recent years, the most obvious is the development of Artificial Intelligence (AI). Computer …

3D real-time dynamic path planning for UAV based on improved interfered fluid dynamical system and artificial neural network

Y Niu, X Yan, Y Wang, Y Niu - Advanced Engineering Informatics, 2024 - Elsevier
In complex and volatile unknown flight environments, the limited environmental information
obtained by sensors in the face of sudden dynamic and static obstacles makes it extremely …

Neural network-based flight control systems: Present and future

SA Emami, P Castaldi, A Banazadeh - Annual Reviews in Control, 2022 - Elsevier
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

A novel state transition algorithm with adaptive fuzzy penalty for multi-constraint UAV path planning

X Zhou, Z Tang, N Wang, C Yang, T Huang - Expert Systems with …, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) require pre-planned flight paths that are energy-efficient,
safe and smooth across their wide range of application scenarios. In this study, a novel UAV …

A systematic literature review on the use of deep learning in precision livestock detection and localization using unmanned aerial vehicles

DBM Yousefi, ASM Rafie, SAR Al-Haddad… - Ieee …, 2022 - ieeexplore.ieee.org
With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …