Monocular UAV Video Vehicle Speed Detection Method
Intelligent transportation systems are fundamentally shaped by the need for efficient, accurate, and flexible traffic monitoring. Among the most persistent […]
Intelligent transportation systems are fundamentally shaped by the need for efficient, accurate, and flexible traffic monitoring. Among the most persistent […]
Drone technology has revolutionized the field of aerial object detection, enabling applications in urban traffic monitoring, power line inspection, and
This research addresses the critical challenges in agricultural logistics through an innovative truck-multi-drone collaborative system. We develop a comprehensive two-stage
With the rapid advancement of modern society, electrical energy has become one of the primary energy sources directly utilized by
In recent years, drone technology has revolutionized various fields, including military reconnaissance, environmental monitoring, and disaster response, due to its
Our research focuses on advancing autonomous navigation for unmanned aerial vehicles (UAVs) by developing a real-time path planning algorithm that
In our research, we developed a comprehensive attitude control system for quadcopter unmanned aerial vehicles (UAVs) during turning flight maneuvers,
In this paper, we explore the critical challenges of low-altitude wireless networks (LAWNs) under global navigation satellite system (GNSS) denial
In the rapidly evolving landscape of intelligent transportation, the integration of drone technology with vehicular networks has emerged as a
In this paper, we present a novel distributed formation obstacle avoidance method for quadrotor unmanned aerial vehicle (UAV) swarms operating
In addressing the challenge of load restoration in large-scale information blind spots caused by communication interruptions that delay fault recovery,
In this work, I investigate the problem of joint optimization of UAV position, transmit precoding, and hybrid reconfigurable intelligent surface
In recent years, drone technology has advanced rapidly, making multi-UAV cooperative formation flight a key enabler for applications such as
The rapid evolution of fifth-generation mobile communication technologies and the Internet of Things (IoT) has intensified demands for low-latency computational
In my years of research and practical work as an automotive维修 technician and educator, I have witnessed a paradigm shift
In our research, we investigate the application of reinforcement learning techniques for unmanned aerial vehicle (UAV) maritime search path planning.
In this study, I investigate the critical problem of multi-drone collaborative computing offloading in emergency scenarios, such as sudden network
In the realm of modern surveillance and reconnaissance, drone technology has become indispensable due to its flexibility, cost-effectiveness, and operational
In recent years, drone technology has been widely adopted across various domains including agriculture, disaster response, and intelligent transportation. The
The pursuit of advanced drone technology has led to the emergence of trans-medium unmanned aerial vehicles (UAVs), which are capable
As an essential foundational dataset in highway survey and design, the Digital Elevation Model (DEM) has traditionally been measured using
Modern drone technology is rapidly transforming low‑altitude economies, enabling applications such as urban air mobility, emergency response, and secure command
Evaluating Camera Settings and Flight Attitudes on Nighttime Imaging Quality in Unmanned Aerial Vehicles Nighttime light remote sensing plays a
Multi-Unmanned Aerial Vehicle (UAV) collaborative path planning represents a complex optimization challenge involving multiple constraints and conflicting objectives, where planning
In recent years, the low-altitude economy has emerged as a transformative force, driven by advances in drone technology, digital infrastructure,
In the modern railway infrastructure, steel bridges serve as critical components that enable the seamless crossing of natural obstacles and
In this work, we present CMambaSE_YOLOv11, a novel detection framework specifically designed for drone-based traffic object detection. Unmanned aerial vehicle
In the rapidly evolving landscape of unmanned aerial systems, the integration of advanced safety mechanisms has become paramount for ensuring
In our study, we aimed to develop a rapid, non-destructive, and accurate method for estimating the leaf nitrogen (N), phosphorus
We investigate the problem of jointly optimizing three-dimensional (3D) flight trajectories, user scheduling, and power allocation for a fleet of