MEAE 2026

Special Session 6

 

Low-altitude Safety and Airworthiness Technology

 

低空经济活动（城市空中交通、无人机物流、eVTOL 客运、空中巡检）的迅猛发展，为航空航天工程带来变革机遇，但也引发全新的安全与适航挑战。传统载人航空的适航认证依赖长期物理测试和静态流程，难以适应低空环境中的新构型、自主飞行和城市空域融合需求。2026 年，新修订的《民用航空法》将低空经济列为国家战略重点，要求建立适应性认证体系和飞行管理标准；民航局同时发布 eVTOL 专用适航标准，为此类飞行器提供首个针对性监管框架。这些法规进展表明，学术研究对塑造下一代安全适航技术至关重要。本次特别会议旨在汇聚研究人员、工程师与监管机构，聚焦机械工程、航空航天与安全科学的交叉领域，探讨新型认证范式、系统安全方法、结构耐撞性、防撞制导控制、城市电磁兼容性，以及人工智能驱动的健康监测等主题。通过跨学科交流，推动低空航空安全、可扩展且可持续发展的基础技术与监管科学进步。
The rapid development of low-altitude economic activities—such as urban air mobility, drone logistics, eVTOL passenger transport, and aerial inspection—is bringing transformative opportunities to aerospace engineering, while also giving rise to entirely new safety and airworthiness challenges. Traditional manned aviation airworthiness certification, which relies on prolonged physical testing and static processes, struggles to accommodate the novel configurations, autonomous flight, and urban airspace integration demanded by low-altitude environments. In 2026, the newly revised Civil Aviation Law designates low-altitude economy as a national strategic priority, mandating the establishment of adaptive certification systems and flight management standards; concurrently, the Civil Aviation Administration has issued dedicated eVTOL airworthiness criteria, providing the first targeted regulatory framework for such aircraft. These regulatory advancements underscore that academic research is pivotal to shaping next-generation safety and airworthiness technologies. This special session aims to bring together researchers, engineers, and regulators to focus on the intersections of mechanical engineering, aerospace, and safety science, exploring topics such as novel certification paradigms, system safety methodologies, structural crashworthiness, collision avoidance guidance and control, urban electromagnetic compatibility, and AI-driven health monitoring. Through interdisciplinary exchange, we seek to advance foundational technologies and regulatory science for safe, scalable, and sustainable low-altitude aviation.
Topics of interest for the Special Session include, but are not limited to:
1）智能航电系统认证；
2）无人机适航性与安全
3）低空AI智能体适航；
4）无人机定位技术
5）无人机动力系统故障诊断与仿真
6）低空飞行气象保障关键技术；
7）无人机反制技术；
1) Intelligent avionics system certification;
2) Airworthiness and Safety of Drones
3) Airworthiness of low altitude AI intelligent agents;
4) UAV positioning technology
5) Fault diagnosis and simulation of unmanned aerial vehicle power system
6) Key technologies for meteorological support in low altitude flight;
7) Drone countermeasure technology;

 

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=meae2026
Please choose "Special Session 6"

 

Organizers:

 

	Xijun Liu, China Civil Aviation Flight University of Aviation, China Xijun Liu, associate professor and master's supervisor, holds a Ph.D. in Electrical Engineering from Southwest Jiaotong University. He serves as Deputy Dean of Graduate School at China Civil Aviation Flight University of Aviation, Deputy Dean of the School of Avionics and Electrical Engineering, and Deputy Director of the Research Institute of Key Technologies for General Aviation Aircraft Maintenance at the Sichuan Provincial Engineering Technology Research Center for General Aviation Aircraft Maintenance. He is a member of the Sichuan Vocational Education Teaching Steering Committee, Standing Council Member of the Southwest Region University Electronic Technology and Circuit Research Association, expert in the Aviation Maintenance Expert Pool of the Civil Aviation Vocational Education Teaching Steering Committee, member of the Sichuan Talent Development Group Expert Pool, and an expert in the Education Evaluation Monitoring Pool of the Sichuan Provincial Education Evaluation Institute. Additionally, he serves as an evaluation expert in the Chengdu Science and Technology Project Application System and holds an Aircraft Maintenance Personnel License.
	Kai Wang, Sichuan University, China Kai Wang, Associate Professor at Sichuan University, primarily conducts research on the application of big data and artificial intelligence technologies in equipment design and manufacturing, as well as intelligent design of aerodynamic performance and structure for aero-engine fans/compressors and low‑altitude power equipment.
	Qiyu Liu, Chengdu University of Information Technology, China Qiyu Liu, Postdoctoral Fellow at Chengdu University of Information Technology, and a permanent researcher at the Sichuan Provincial Key Laboratory of Advanced Cryptography and System Security. His research interests include low‑altitude technology and airworthiness, knowledge engineering, cognitive computing, and digital twin.
	Hai Xiang, Xihua University, China Hai Xiang, Postdoctoral Fellow at Xihua University, mainly working on low‑altitude and airworthiness certification, data‑driven generative product design, visual inspection systems, and related topics.