A5089972240- Air Traffic Management and Optimization
- UAV Applications and Optimization
- Traffic and Road Safety
- Risk and Safety Analysis
- High Altitude and Hypoxia
- Target Tracking and Data Fusion in Sensor Networks
- Multimodal Machine Learning Applications
- Aviation Industry Analysis and Trends
- Video Surveillance and Tracking Methods
- Distributed Control Multi-Agent Systems
- Heart Rate Variability and Autonomic Control
- Face recognition and analysis
- Aerospace and Aviation Technology
- Cardiovascular and exercise physiology
- Radio Wave Propagation Studies
- Gait Recognition and Analysis
- Indoor and Outdoor Localization Technologies
- Radar Systems and Signal Processing
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Face and Expression Recognition
- Domain Adaptation and Few-Shot Learning
Xinqiao Hospital
2025
Army Medical University
2025
Civil Aviation Flight University of China
2023-2024
Wuhan Institute of Technology
2021-2022
Abstract Unmanned aerial vehicles (UAVs) play a crucial role in various domains such as military, civil, industrial, and so on. However, the coordination task allocation of multiple UAVs engineering practices face numerous challenges. As scale battlefields expands, diversity UAV missions constraints increases, existing methods suffer from issues mismatch between theoretical models real‐world applications, low execution efficiency, poor responsiveness dynamic environments. To address these...
With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores lateral safety spacing mixed operation mode vehicles manned aircraft. Currently, there no standardized regulations safe fusion Theoretical research is essential to provide reference actual operations. It introduces UM-Event...
Low-altitude airspace is developing rapidly, but the utilization rate of resources low. Therefore, in order to solve problem safe operation fusion large UAVs and manned aircraft same airspace, this paper analyzes theoretical calculation collision risk at Feng Ming Airport Zigong, verifying that while assessing safety spacing 10 km lateral direction, it further simulates possibility calculating smaller spacing. The study will propose a new theory error margin improve according traditional...
In view of the insufficient use semantic information high-level feature maps under existing face detection algorithms, resulting in unsatisfactory results complex field conditions, an improved algorithm based on Retinaface is proposed. Use backbone extraction network ResNeSt-50 to extract features, combine pyramid CE-FPN perform multi-scale fusion different scales, and then transfer processed by context module, finally pass training loss function Soft non-maximum suppression realize point...
Considering several sources that cause global position system (GPS) interference in civil aviation and the challenges faced by recognition algorithms terms of efficiency accuracy, we propose an improved You Only Look Once (YOLO)v7‐CHS algorithm (YOLOv7‐CHS) investigate its effectiveness identifying GPS signals different types signals. First, continuous wavelet transform (CWT) is introduced as a method for processing analyzing time–frequency (TF) domain to effectively obtain their temporal...
Embedded mobile devices have limited computing power and insufficient running memory, it is difficult to deploy high-precision, high-complexity time-consuming semantic segmentation models. We propose a lightweight model based on DeepLabV3+. This optimizes the original DeepLabV3+ from perspective of reducing amount parameters ensuring accuracy. The backbone network replaced by MobileNetV2 with lower computational complexity speed up inference. design 3-branch parallel structure introduce...
Monitoring and analyzing radio interference sources play a crucial role in ensuring the safe operation of civil aviation navigation, communication, airport management, air traffic control. Traditional ground monitoring methods are slow inadequate for tracking aerial mobile effectively. Although flight such as helicopters airships can effectively monitor interference, approval process is time-consuming expensive. This paper investigates novel approach to locating using four unmanned vehicles...