With the fast development of scientific technology, low-altitude economy becomes a hot topic these days. It's a typical representative of new quality productive forces, a new engine of economic growth and a new track of industrial development. Therefore, in order to promote the deep integration of scientific and technological innovation and industrial innovation, and accelerate the cultivation of low-altitude economy-related industrial clusters, 2025 Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application (LEF & ICLU 2025) [2025年低空经济论坛暨低空飞行技术与无人机应用国际学术会议] will be held in Conghua, Guangdong during September 26-28, 2025.

This conference takes "Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application" as the theme and focuses on cutting-edge research fields. Aiming to boost development of the Greater Bay Area, expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, strengthen academic cooperation between China and the outside world, enhance development ofLow-Altitude Economy. It also aims to encourage exchange of information on frontiers of research in different areas, connect the most advanced academic resources in China and the world, turn research results into industrial solutions, and bring together talents, technologies and capital to boost development.

PUBLICATION

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will bepublished in the Conference Proceedings by IEEE(ISBN：978-1-6654-5748-4), and submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

CALL FOR PAPERS

Topics of interests are in the broad areas of low-altitude flight technology and unmanned aerial vehicle application, including but not limited to:

· Design and Optimization of Drone Power Systems
· Power Management Technologies for Drones
· New Battery Technologies and Energy Storage for Drones
· Application of Wireless Charging Technology in Drones
· Autonomous Navigation and Intelligent Control Systems for Drones
· Cooperative Control Technologies for Multiple Drones
· Application of Machine Learning in Drone Image Processing
· Data Processing and Analysis Platforms for Drones
· Cloud Computing Supported Data Storage and Management for Drones
· Blockchain-based Data Security for Drones
· Application of Edge Computing in Real-time Data Processing for Drones
· Application of Novel Sensors in Drones
· Integration and Miniaturization of Drone Electronic Components
· Research on Wireless Carrier Technologies for Drones
· Technologies to Enhance Interference Resistance of Drone Electronics
· RF Design and Implementation for Drones
· Architecture and Design of Communication Networks for Drones
· Real-time Data Transmission Between Drones and Ground Stations
· Communication Protocols Among Drone Swarms
· Optimization of Signal Processing Algorithms for Drones
· Deep Learning-based Image Recognition for Drones
· Processing and Analysis of Remote Sensing Data from Drones
· Application of Multi-source Data Fusion Techniques in Drones
· Remte Sensing Technologies for Environmental Monitoring with Drones
· High-Precision GIS Applications Using Drones
· Image Processing and 3D Modeling Techniques Using Drones