In recent years, surveying drones and surveying UAVs have revolutionized various industries by providing efficient, cost-effective, and high-precision data collection
The continuous expansion of power systems has intensified operational challenges in distribution network maintenance. Traditional manual inspection methods exhibit critical
1. Introduction Forest ecosystems play a pivotal role in regulating the global carbon cycle, maintaining biodiversity, and supporting regional ecological
We have developed an intelligent non-destructive inspection system for detecting internal defects in high-voltage transmission line strain clamps, integrating UAV
As a journalist covering economic trends in China, I have observed a remarkable narrative unfolding in the southern province of
Detecting low-altitude group targets like migrating bird flocks or unmanned aerial vehicle (UAV) swarms is critical for both civilian and
Traditional pest control methods face significant limitations in adaptability due to terrain constraints and crop variations. Our agricultural drone integrates
Object detection is a core task in computer vision and plays a critical role in enabling intelligent perception for unmanned
Quadrotor UAV drones have become ubiquitous in aerial photography, inspection, agriculture, and emergency response. The key to their widespread adoption
The proliferation of military drones has fundamentally transformed modern warfare, with Türkiye emerging as a pivotal player in this technological
With the rapid expansion of low-altitude flight activities and the persistently high failure rates of Unmanned Aerial Vehicle (UAV) systems,
Unmanned aerial vehicles (UAVs) have become essential platforms in both civilian and military applications, ranging from search and rescue, environmental
State estimation in nonlinear systems faces significant challenges due to large estimation errors and poor anti-interference capabilities. Traditional methods exhibit
In recent years, the rapid advancement of drone technology has led to the widespread deployment of Unmanned Aerial Vehicle (UAV)
I have dedicated significant effort to the development of an accurate predictive model for the landing loads experienced by the
In recent years, the rapid advancement of drone technology has led to the widespread adoption of Unmanned Aerial Vehicles (UAVs)
The proliferation of unmanned aerial vehicles (UAVs) in modern conflicts underscores their tactical significance. As drone manufacturer capabilities advance—enabling autonomous
Urban logistics faces unprecedented challenges with rising e-commerce demands and traffic congestion. Delivery drones (UAVs) offer transformative solutions, particularly for
In the context of complex dynamic scenarios such as forest fire monitoring, traditional fixed monitoring systems suffer from limited coverage,
In recent years, drone technology has revolutionized the field of aerial surveying, with Unmanned Aerial Vehicle systems offering cost-effective and
In this paper, we present a comprehensive modeling and resilience evaluation framework for unmanned aerial vehicle (UAV) swarms that are
In recent years, police drones have become indispensable tools for law enforcement due to their cost-effectiveness, maneuverability, and operational stability.
As an observer of technological advancements in imaging, I have witnessed how the emergence of camera drones has revolutionized photography.
Accurate measurement of regional water resources is a cornerstone for sustainable water management, ecological protection, and informed policy-making. Traditional methods
In the past decade, the proliferation of unmanned aerial vehicles (UAVs), commonly known as drones, has transformed a wide range
The application of surveying drones in mountainous highway construction presents transformative potential for economic development and resource utilization. However, complex
In the rapidly evolving field of unmanned aerial vehicle technology, fixed-wing UAV drones have demonstrated significant advantages in both military
Traditional open-pit mine monitoring relies on manual surveying and low-resolution imagery, resulting in inefficient resource management and limited accuracy. Low
In this thesis, I focus on the design of energy consumption optimization schemes for non-orthogonal multiple access (NOMA) based unmanned
Agricultural drone technology represents an emerging advancement in modern farming, offering significant advantages over manual spraying methods including labor reduction,
