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Dynamic Modeling and Simulation Analysis of Four Rotor UAV
With the development of unmanned aerial vehicle (UAV) technology, its application field is more and more extensive. At present, UAV inspection has... -
Millimeter Wave Path Loss Modeling for UAV Communications Using Deep Learning
Unmanned Aerial Vehicles (UAVs) and millimeter waves are pivotal technologies in the sixth-generation (6G) mobile communication systems. Effective... -
Path recognition of UAV based on improved super-greening algorithm and design of adaptive Trichogramma pill dispenser
Aiming at the problem that the traditional Trichogramma pill dispenser is inaccurate due to the change of wind speed during operation, and the...
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LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning
Unmanned Aerial Vehicles (UAV) can quickly scan unknown environments to support a wide range of operations from intelligence gathering to search and... -
Deep learning techniques to classify agricultural crops through UAV imagery: a review
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used to improve agriculture productivity while reducing drudgery,...
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Tactical UAV path optimization under radar threat using deep reinforcement learning
The majority of the research efforts that aim to solve UAV path optimization problems in a Reinforcement Learning (RL) setting focus on closed spaces...
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A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
The agricultural crop productivity can be affected and reduced due to many factors such as weeds, pests, and diseases. Traditional methods that are...
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Task Offloading in UAV-to-Cell MEC Networks: Cell Clustering and Path Planning
When a natural disaster occurs, ground base stations (BSs) are destroyed and cannot provide communication services. Rapid restoration of... -
Path Plan Optimisation for UAV Assisted Data Collection in Large Areas
Integrated systems that combine wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) are emerging as state-of-the-art solutions for... -
Computation Offloading Based on Deep Reinforcement Learning for UAV-MEC Network
The existing MEC technology is not suitable for the situations where the number of Mobile Users (MUs) increases explosively or network facilities are... -
Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI
Unmanned aerial vehicle (UAV) is an unmanned aircraft remotely controlled by radio, which is widely used in reconnaissance. However, during the... -
Energy-efficient trajectory planning and resource allocation in UAV communication networks under imperfect channel prediction
In unmanned aerial vehicle (UAV) communication networks, trajectory planning and resource allocation (TPRA) under channel prediction obtains great...
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Construction Safety Monitoring System Based on UAV Image
In the process of construction safety monitoring, the construction image is not corrected, resulting in low monitoring accuracy and high false alarm... -
Autonomous Object Tracking System of UAV Based on Correlation Filtering
Aiming at the problem of UAV autonomous object tracking under the condition of limited computing resources, this paper combines the high-speed Kernel... -
On-board UAV Pilots Identification in Counter UAV Images
Among Unmanned Aerial Vehicles (UAV) countermeasures, the detection of the drone position and the identification of the human pilot represent two... -
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been commissioned by researchers to enable accurate, online wildfire...
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Secure Traffic Data Sharing in UAV-Assisted VANETs
Aiming at the issues of low comprehensiveness and timeliness of data, difficulty in balancing data anonymity and traceability, and challenges of... -
A New Deep Reinforcement Learning Algorithm for UAV Swarm Confrontation Game
UAV swarm confrontation game is a type of intelligent game problem. Multi-agent reinforcement learning theory provides an effective solution for this... -
UAV Target Roundup Strategy Based on Wolf Pack Hunting Behavior
In nature, in order to hunt prey more efficiently, animals often adopt the method of group cooperation. By analyzing the similarity between the... -
Deep Reinforcement Learning Based Multi-WiFi Offloading of UAV Traffic
As the growing network deployment of Unmanned Aerial Vicheles (UAVs), traffic offloading has been widely used to mitigate UAV's problem of limited...