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Unmanned aerial vehicles for search and rescue: A survey
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) …
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
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 …
promising direction for countries with very different types of economies. This statement refers …
Reinforcement learning for UAV attitude control
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 …
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 …
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
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 …
their flight envelope as compared to experienced human pilots, thereby restricting the …
A survey on 5G/6G, AI, and Robotics
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 …
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 …
obtained by sensors in the face of sudden dynamic and static obstacles makes it extremely …
Neural network-based flight control systems: Present and future
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 …
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
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 …
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
With the ever-increasing importance of dairy and meat production, precision livestock
farming (PLF) using advanced information technologies is emerging to improve farming …
farming (PLF) using advanced information technologies is emerging to improve farming …