Conference Information

LEF & ICLU 2026: Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application

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Submission Date:
2026-08-26
Notification Date:
2026-09-22
Conference Date:
2026-11-06
Location:
Guilin, China
Years:
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LEF & ICLU
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Conference Partner Index (CP-I)

42.7 / 100
Ranked #3,988 of 5,694 conferences · Top 71%

#288 of 470 in Robotics & Control

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-07

Call For Papers

LEF & ICLU 2026 (Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application) is an academic conference held in Guilin, China on 2026-11-06. The paper submission deadline is 2026-08-26. Acceptance notifications are sent on 2026-09-22.

2026 2nd Low-Altitude Economy Forum & International Conference on Low-Altitude Flight Technology and Unmanned Aerial Vehicle Application (LEF & ICLU 2026) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are 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 · Remote Sensing Technologies for Environmental Monitoring with Drones · High-Precision GIS Applications Using Drones · Image Processing and 3D Modeling Techniques Using Drones · Environment perception for autonomous bionic robotic aircraft · Modeling and control design for bionic unmanned aerial vehicles · Autonomous intelligent control of low-altitude flight systems · Deep learning and reinforcement learning for UAV autonomy · Biologically-inspired environment perception for UAVs · Autonomous planning and navigation for bionic aircraft · Multimodal sensor fusion for UAV perception and feedback · Modeling of sensory and motor systems for bionic UAVs · Brain-inspired learning and adaptation for UAV control · Biomimetic modeling and control for bio-mechatronic UAVs · AI-driven intelligent systems for unmanned aerial vehicles · Collaborative control and formation of multiple UAVs · Biomimetic context awareness for unmanned aerial systems · Intention understanding and decision-making for UAVs · System design and learning control for micro UAV systems
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