C-UAV

Drone-Based Canopy Monitoring: Cross-Crop Calibration of Multispectral Sensors for Green Leaf Area Index and Nitrogen Uptake Estimation

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Drone-Based Canopy Monitoring: Cross-Crop Calibration of Multispectral Sensors for Green Leaf Area Index and Nitrogen Uptake Estimation

Journal Introduction: Precision Agriculture (IF: 6.6) Online Date: 2024.02.27 First Author: Josephine BukowieckiοΌ› Corresponding Author: Josephine Bukowiecki Author Affiliation: Institute of Agricultural and Crop Sciences, Kiel University 01 Research Background and Challenges Precision agriculture relies on the rapid and accurate assessment of the Green Leaf Area Index (GAI) and total nitrogen uptake (total N) during … Read more

MATLAB | Multi-UAV Path Planning Based on Deep Reinforcement Learning for Edge Computing Networks

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MATLAB | Multi-UAV Path Planning Based on Deep Reinforcement Learning for Edge Computing Networks

Click the blue text above to follow us πŸ“‹πŸ“‹πŸ“‹ The content of this article is as follows: 🎁🎁🎁 Table of Contents πŸ’₯1 Overview πŸ“š2 Results πŸŽ‰3 References 🌈4 Download Matlab Code, Data, and Article 1 Overview Source of literature: Abstract: Mobile Edge Computing (MEC) utilizes the computational power at the network edge to perform computation-intensive … Read more

Design of Flight Control System for Unmanned Aerial Vehicles Based on DSP

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Design of Flight Control System for Unmanned Aerial Vehicles Based on DSP

With the development of technology and the shift in military strategic thinking, unmanned aerial vehicles (UAVs) have a wide range of application prospects and extremely important practical significance in both military and civilian fields. Countries are developing various UAVs with unique performance, and the core of these modifications is the flight control system. The DSP, … Read more

The Golden Age of Drones: Strategic Issues and Tactical Developments of Military Drones

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Source: TRENDS Research & AdvisoryTransferred from: ZHUAN ZHI Intelligent DefenseEvery conflict brings new technologies. World War I introduced tanks, World War II brought tactical aviation, and the endless decolonization wars led to asymmetric warfare. Ukraine will soon be recorded in history as the conflict where the use of drones on the front lines became commonplace. … Read more

Drone Power Test Stand | How to Quickly Connect Third-Party Sensors?

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Drone Power Test Stand | How to Quickly Connect Third-Party Sensors?

Click the blue text above to follow us The power test stand is crucial for testing the thrust, torque, RPM, and efficiency of power systems. Integrating sensors into your tests adds another layer of optimization, elevating your performance to a new level. In the UAV industry, there is ample evidence that collecting data from external … Read more

A Conceptual Framework for Smart Ports Based on Flying Aerial Ad-Hoc Networks for UAV Pilotage

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A Conceptual Framework for Smart Ports Based on Flying Aerial Ad-Hoc Networks for UAV Pilotage

Document Number:No.367(AS-035) Source: Mohammed Jamal Almansor, Norashidah Md Din, Mohd Zafri Baharuddin, Ahmed Jasim Al-asadi, Huda Mohammed Alsayednoor, Zeyad Ghaleb Al-Mekhlafi, Badiea Abdulkarem Mohammed, Majid Khalaf Alshammari. A conceptual framework for smart ports: Novel UAV-based pilotage protocol using flying aerial ad-hoc networks. Alexandria Engineering Journal, Volume 123, 2025. https://doi.org/10.1016/j.aej.2025.01.068. Institution: National Power University of Malaysia, … Read more

UAV + Self-Organizing Network + Communication Command Vehicle: Detailed Explanation of Air-Ground Collaborative Networking Technology

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UAV + Self-Organizing Network + Communication Command Vehicle: Detailed Explanation of Air-Ground Collaborative Networking Technology

1. Overview of the Technical System The air-ground collaborative networking technology integrates UAV systems, self-organizing networks, and mobile communication command vehicles to construct a highly mobile and intelligent emergency communication and command platform. This system fully leverages the advantages of UAVs’ flexibility, dynamic expansion of self-organizing networks, and the powerful processing capabilities of communication command … Read more

Multi-UAV Path Planning Algorithms for Various Scenarios in MATLAB

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Multi-UAV Path Planning Algorithms for Various Scenarios in MATLAB

Abstract This study explores the multi-UAV path planning problem and presents a comparative analysis of three different algorithms, including Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and Whale Optimization Algorithm (WOA). MATLAB was used to implement multi-scenario simulation experiments to verify the performance of each algorithm in multi-UAV cooperative path planning. The experimental results … Read more

Passive Radar UAV Positioning Code Example in MATLAB

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Passive Radar UAV Positioning Code Example in MATLAB

> The steps include: initializing the positions of the radar and UAV, generating the signal model, processing the received signals to estimate angles, and then calculating the position using TDOA/AOA fusion algorithms. The code structure may be divided into parameter settings, signal generation, signal processing, positioning algorithms, and result visualization. Running Results # Source Code … Read more

Shenzhen Student Creates Fastest Mini Drone, Sets Guinness World Record!

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Shenzhen Student Creates Fastest Mini Drone, Sets Guinness World Record!

The world’s fastest mini drone comes from Shenzhen! On May 12, Xu Yang, a student from The Chinese University of Hong Kong (Shenzhen), released a video introducing his homemade aircraft PROWESS, which set the Guinness World Record for the fastest mini drone. PROWESS, currently the fastest mini drone in the world, weighs only 247 grams … Read more