Knowledge Commons of Institute of Automation,CAS
Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems | |
Liu, Yuhang1,2; Shen, Yu1,2![]() ![]() ![]() ![]() | |
发表期刊 | SENSORS
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2022-12-01 | |
卷号 | 22期号:24页码:16 |
通讯作者 | Wang, Fei-Yue(feiyue.wang@ia.ac.cn) |
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. |
关键词 | parallel radars ACP method cyber-physical-social systems (CPSS) federated radars |
DOI | 10.3390/s22249930 |
关键词[WOS] | WAVE-FORM DESIGN ; SENSOR SIMULATION ; TRANSFORMERS ; FUSION |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000902954900001 |
出版者 | MDPI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51007 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
通讯作者 | Wang, Fei-Yue |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Beijing Inst Technol, Sch Informat & Elect, Beijing 100190, Peoples R China 4.North Automat Control Technol Inst, Taiyuan 030006, Peoples R China 5.Macau Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China 6.Chinese Acad Sci, Inst Automat, Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
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