Multi-UAV Cooperative Pursuit Method Based on GRU-MAPPO
Recent advancements in drone technology have expanded applications across military and civilian domains. Multi-Unmanned Aerial Vehicle cooperative pursuit represents a […]
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Unmanned Aerial Vehicle-Based YOLOv8 Enhancement for Electric Rider Helmet Detection via Intelligent Communication
1. IntroductionThe proliferation of electric vehicles (EVs) as a primary mode of short-distance transportation underscores their environmental and economic benefits.
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Robust Trajectory Tracking Control for Unmanned Aerial Vehicles Based on Invariant Sets
1 Introduction Unmanned Aerial Vehicles (UAVs), particularly quadrotors, have revolutionized aerial operations due to their compact size, vertical takeoff/landing capability,
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Real-time Anti-Unmanned Aerial Vehicle Early Warning System Integrating Intelligent Visual Detection and Semantic Analysis
1. IntroductionThe proliferation of Unmanned Aerial Vehicles (UAVs) has revolutionized sectors like aerial photography and geographic surveying. However, unauthorized UAV
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Unmanned Aerial Vehicle Localization in GNSS-Denied Environments via Deep Learning Fusion
Accurate and reliable positioning is paramount for Unmanned Aerial Vehicle (UAV) operations. While satellite navigation (GNSS) is the primary method,
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Deep Learning-Based Autonomous Localization for Unmanned Aerial Vehicles in GNSS-Denied Environments
I. IntroductionThe rapid proliferation of Unmanned Aerial Vehicles (UAVs) across industries like logistics, surveillance, and disaster response underscores the critical need for
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Unmanned Aerial Vehicle Swarm Task Allocation via Temporal Coupling Analysis
Designing efficient task allocation algorithms is paramount for scaling Unmanned Aerial Vehicle (UAV) swarm applications to complex, real-world scenarios. As
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Unmanned Aerial Vehicle Path Planning via Enhanced Mountaineering Team Optimization
The efficient operation of Unmanned Aerial Vehicles (UAVs) across diverse fields—military reconnaissance, logistics, environmental monitoring, agriculture, and emergency response—critically hinges
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Enhanced Multi-UAV Emergency Mission Allocation via Hybrid CPS-GWO Algorithm
As the lead researcher, our team at Liaoning University of Technology addresses a critical challenge in China UAV deployment for emergency response:
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China UAV Recognition via Multi-Modal Fusion
As a researcher deeply engaged in anti-drone technology within China’s rapidly evolving UAV landscape, I present this systematic review of
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Enhancing Anti-Jamming Capabilities for China UAV Swarms via Multi-Agent Reinforcement Learning
As a researcher at the Army Artillery and Air Defense Academy in Nanjing, China, our team addresses critical vulnerabilities in
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China UAV Swarm Coordination via Bearing-Only Passive Localization
As a researcher specializing in swarm intelligence for China UAV systems, I present a comprehensive strategy for multi-target bearing-only passive localization, enabling
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China UAV Power Grid Intelligence
As the principal architect of this China UAV-integrated power distribution network operation and maintenance (O&M) system, I present a transformative
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China UAV-Based Hyperspectral Object-Oriented Crop Classification
1. IntroductionPrecise mapping of crop distribution is paramount for ensuring food security and enabling sustainable agricultural management. Traditional ground survey
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UAV-Based Explosive Pile Characterization in Open-Pit Mines
1. Introduction Open-pit mining dominates global coal production, with its share rising from 4.6% (2003) to 25.9% (2021). Blasting is
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Unmanned Aerial Vehicle Control for Power Line Inspection
1. IntroductionEnsuring the reliability of electrical power grids critically depends on the regular inspection of transmission lines. Traditional manual inspection
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Network Architecture for Unmanned Aerial Vehicle Swarm Operations with Cloud-Fog-Edge Integration
1. Introduction Modern warfare increasingly relies on unmanned aerial vehicle (UAV) swarms for missions requiring distributed intelligence, real-time response, and resilience. However,
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Unmanned Aerial Vehicle Formation Control via Stackelberg Games and Hierarchical Reinforcement Learning
1. IntroductionThe evolution of modern warfare and combat systems has significantly elevated the role of unmanned aerial vehicles (UAVs). Their
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Agricultural Unmanned Aerial Vehicle Research in China: A Decade of Evolution and Future Trajectories
1. Introduction As a researcher immersed in precision agriculture, I have witnessed the transformative role of agricultural unmanned aerial vehicles (UAVs) in
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Unmanned Aerial Vehicle Trajectory Optimization for Energy-Constrained Data Acquisition Systems
1. Introduction Unmanned aerial vehicles (UAVs) revolutionize data acquisition by offering mobility, low cost, and rapid deployment in inaccessible terrains
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Curve Fitting and Peak Separation Techniques for 5G-A Low-Slow-Small Unmanned Aerial Vehicle Detection
IntroductionThe proliferation of unmanned aerial vehicles (UAVs) as a pillar of the low-altitude economy presents significant detection challenges. These low-slow-small
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Design and Optimization of Tilting Mechanism for Rotary Wing Unmanned Aerial Vehicle
This work presents the comprehensive design, structural analysis, and optimization of a critical tilting mechanism for a 30 kg class rotary
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Comprehensive Neural Network Adaptive Sliding Mode Control for Fixed Wing Unmanned Aerial Vehicle Longitudinal Attitude
1. IntroductionFixed wing unmanned aerial vehicles (UAVs) are critical assets in military reconnaissance, geographic mapping, environmental monitoring, and emergency response
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Unmanned Aerial Vehicle Path Planning for Wind Farm Inspection Considering Wake Effects
1. IntroductionThe operational reliability and economic viability of wind farms hinge critically on efficient maintenance strategies. Unmanned Aerial Vehicle (UAV)
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Optimizing Unmanned Aerial Vehicle Charging Efficiency in Wireless Sensor Networks
Abstract Wireless Sensor Networks (WSNs) are pivotal in modern engineering, enabling applications in agriculture, healthcare, and disaster management. However, maintaining
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Nonlinear State Estimation for Unmanned Aerial Vehicles Using Extended Exactly Gaussian Variational Inference Learning Method
Introduction State estimation is a critical task in the field of autonomous systems, particularly for Unmanned Aerial Vehicles (UAVs). Accurate
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Optimized UAV Trajectory Planning with Enhanced APF-RRT Algorithm
Abstract Unmanned Aerial Vehicles (UAVs) have become pivotal in military, agricultural, and logistics applications, necessitating efficient trajectory planning algorithms. Traditional
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China UAV LiDAR Bathymetric Survey in Yangtze Estuary Mudflats
As a lead engineer involved in this critical survey project within the dynamic Yangtze Estuary, I present a comprehensive analysis
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Robust Occluded Target Detection and Multi-UAV Cooperative Tracking in Complex Low-Altitude Environments
As a leading researcher focused on advancing unmanned aerial systems for challenging operational scenarios, I present our comprehensive framework addressing
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Optimization of Time-Frequency Feature Extraction and Classification for China UAV Frequency-Hopping Signals
AbstractTo address the critical challenges of high computational complexity and insufficient real-time performance in deep learning-based classification of China UAV frequency-hopping (FH)