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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DDS-Based Integrated Simulation Platform for UAV Drone Mission Payload
In our work on designing and validating modern unmanned aerial vehicles, we have encountered recurring challenges in the selection and
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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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UAV LiDAR Technology in Railway Capacity Expansion Projects
The rapid advancement of remote sensing technologies has fundamentally transformed the way we approach engineering surveys, particularly in the context
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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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Design of Photoelectric Payload Controller Based on OMAPL138
In my work on UAV drones, I have always been challenged by the stringent requirements of lightweight, miniaturization, and high
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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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Hybrid PID Search Algorithm for Multi-UAV Path Planning in Mountainous Environments
In recent years, the rapid development of UAV drones has enabled extensive applications in disaster monitoring, emergency rescue, and logistics
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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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IWOA for UAV Drones Path Planning
In the rapidly evolving field of automated warehousing and logistics, the path planning of UAV drones has become a critical
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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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Multi-Strategy Integrated Grey Wolf Optimization for Heterogeneous UAV Drones Task Allocation under Uncertainty
In modern military and civilian operations, the deployment of multiple unmanned aerial vehicles (UAV drones) has become a cornerstone for
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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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Airborne Parameter Loading Design for UAV Drones
Unmanned Aerial Vehicles (UAV drones) have become indispensable in both military and civilian domains, supporting reconnaissance, surveillance, agriculture, powerline inspection,
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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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Adaptive Fuzzy Model Predictive Control for UAV Drones Under Disturbances and Input Constraints
In this study, we address the challenging problem of attitude control for quadrotor UAV drones operating in complex and uncertain
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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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Real-Time Onboard Flooded Building Detection for UAV Drones Using Dual-Scale Weak Semantic Prompt Guidance
In this paper, we present FloodSAM‑Duo, a lightweight and efficient framework designed for real‑time object‑level detection of flooded buildings directly
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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