摘要
人工智能技术应用于机载领域,主要表现在三个方面:一是通过人主机辅的辅助智能,解决有人飞机面临的一系列问题;二是通过人辅机主的自主智能,使无人飞机变得更加聪明;三是通过人机融合的协同智能,构建有人/无人飞机最优作战集合。人工智能技术在机载领域若要真正落地,需要突破许多技术挑战。通过分析机载智能应用计算需求,结合相应的处理器选型,围绕架构、硬件、软件、工具等核心要素以及感知、决策、控制等关键技术,详细探讨机载智能计算系统工程实践的技术思路,为进一步的系统研制提供技术参考。
Artificial intelligence(AI)technology is applied in the airborne field,mainly in three aspects.The first is to solve a series of problems that the manned aircraft facing through the assistant intelligence.The second is to make the unmanned aircraft smarter through the autonomous intelligence.The third is to build an optimal collection of the manned and unmanned aircrafts through the collaborative intelligence.If the AI technology is to be truly implemented in the airborne field,it needs to break through many technical challenges.By analyzing the computing requirements of the airborne intelligent application and considering the corresponding processor selection,the core elements of architecture,hardware,software and tools and the key technologies such as perception,decision-making and control are focused on.This paper discusses the engineering practice of the airborne intelligent computing system in detail,to provide the technical reference for further development of the system.
作者
文鹏程
白林亭
高泽
邹昌昊
WEN Peng-cheng;BAI Lin-ting;GAO Ze;ZOU Chang-hao(Xi′an Aeronautics Computing Technique Research Institute,AVIC,Xi′an 710068,China;Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer,Xi′an 710065,China)
出处
《航空计算技术》
2021年第2期130-134,共5页
Aeronautical Computing Technique
基金
航空科学基金项目资助(2017ZC31008
2018ZC31002)。
关键词
人工智能
机载智能应用
智能计算
嵌入式智能
AI
airborne intelligent application
intelligent computing
embedded intelligence
