Acta Aeronautica et Astronautica Sinica / 航空学报 · Journal article · 2026
Authors: Chao Dong, Yuqian Jing, Jiahao You, Jiajing Wu, Honghui Jin, Wei Feng
Published in: Acta Aeronautica et Astronautica Sinica / 航空学报, Advance online publication, Jun. 23, 2026.
Authorship: Coauthor / 合作作者
DOI: 10.7527/S1000-6893.2026.33756
Research overview
This review examines architectures and enabling technologies for cooperative intelligence in dynamic low-altitude networks.
The problem
Low-altitude operations place simultaneous demands on sensing, connectivity, computation, and decision-making. Fragile links and limited onboard resources make coordinated operation difficult.
The approach
The review describes an architecture that adapts both edge and cloud, coupling task flows with knowledge flows. It organizes work on cross-domain sensing, heterogeneous networking, cooperative computing, distributed decisions, and collaborative learning.
Evaluation
Representative low-altitude applications are used to examine shared requirements and unresolved challenges, including trustworthy sensing, continuous connectivity, stable decisions, and ongoing learning.
低空协同智能体系架构与关键技术
本文综述动态低空网络中协同智能的体系架构与关键技术。
研究问题
低空运行同时依赖感知、连接、计算和决策能力。链路易中断与机载资源受限，使协同运行面临困难。
研究方法
综述围绕端云双适架构，讨论任务流与知识流的耦合运行，并梳理跨域感知、异构组网、协同计算、分布式决策与协同学习。
研究评估
论文结合典型低空应用分析共性需求与待解决问题，包括感知可信、连接连续、决策稳定和持续学习。
原文为中文；英文介绍为便于阅读所作的概述。
Citation
[1] C. Dong, Y. Jing, J. You, J. Wu, H. Jin, and W. Feng, “Architecture and key technologies of low-altitude cooperative intelligence,” Acta Aeronautica et Astronautica Sinica, early access, Jun. 23, 2026 (in Chinese), doi: 10.7527/S1000-6893.2026.33756.
