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Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems

文献类型：期刊论文

作者Liu, Yuhang5,6; Shen, Yu5,6; Fan, Lili4; Tian, Yonglin6; Ai, Yunfeng5; Tian, Bin6; Liu, Zhongmin3; Wang, Fei-Yue1,2,6
刊名SENSORS
出版日期2022-12-01
卷号22期号:24页码:16
关键词parallel radars ACP method cyber-physical-social systems (CPSS) federated radars
DOI10.3390/s22249930
通讯作者Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
英文摘要Radar is widely employed in many applications, especially in autonomous driving. At present, radars are only designed as simple data collectors, and they are unable to meet new requirements for real-time and intelligent information processing as environmental complexity increases. It is inevitable that smart radar systems will need to be developed to deal with these challenges and digital twins in cyber-physical systems (CPS) have proven to be effective tools in many aspects. However, human involvement is closely related to radar technology and plays an important role in the operation and management of radars; thus, digital twins' radars in CPS are insufficient to realize smart radar systems due to the inadequate consideration of human factors. ACP-based parallel intelligence in cyber-physical-social systems (CPSS) is used to construct a novel framework for smart radars, called Parallel Radars. A Parallel Radar consists of three main parts: a Descriptive Radar for constructing artificial radar systems in cyberspace, a Predictive Radar for conducting computational experiments with artificial systems, and a Prescriptive Radar for providing prescriptive control to both physical and artificial radars to complete parallel execution. To connect silos of data and protect data privacy, federated radars are proposed. Additionally, taking mines as an example, the application of Parallel Radars in autonomous driving is discussed in detail, and various experiments have been conducted to demonstrate the effectiveness of Parallel Radars.
WOS关键词WAVE-FORM DESIGN ; SENSOR SIMULATION ; TRANSFORMERS ; FUSION
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000902954900001
出版者MDPI
源URL[http://ir.ia.ac.cn/handle/173211/51006]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Fei-Yue
作者单位1.Chinese Acad Sci, Inst Automat, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China
2.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China
3.North Automat Control Technol Inst, Taiyuan 030006, Peoples R China
4.Beijing Inst Technol, Sch Informat & Elect, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Yuhang,Shen, Yu,Fan, Lili,et al. Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems[J]. SENSORS,2022,22(24):16.
APA Liu, Yuhang.,Shen, Yu.,Fan, Lili.,Tian, Yonglin.,Ai, Yunfeng.,...&Wang, Fei-Yue.(2022).Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems.SENSORS,22(24),16.
MLA Liu, Yuhang,et al."Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems".SENSORS 22.24(2022):16.

入库方式： OAI收割

来源：自动化研究所

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