Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation

doi:10.1109/TIV.2024.3355508

CASIA OpenIR > 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

	Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation
	Wu, Wansen 1; Yang, Weiyi 1; Li, Juanjuan2 ; Zhao, Yong 1; Zhu, Zhengqiu 1; Chen, Bin1 ; Qiu, Sihang 1; Peng, Yong 1; Wang, Fei-Yue3
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
ISSN	2379-8858
	2024-03-01
卷号	9 期号:3 页码:4254-4258
通讯作者	Peng, Yong(yongpeng@nudt.edu.cn) ; Wang, Fei-Yue(feiyue@ieee.org)
摘要	The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse workforce. Our first and second Distributed/Decentralized Hybrid Workshop on Crowdsensing Intelligence (DHW-CSI) have focused on principles and high-level processes of organizing and operating CSI, as well as the participants, methods, and stages involved in CSI. This perspective reports the outcomes of the latest DHW-CSI, focusing on Autonomous Crowdsensing (ACS) enabled by foundation intelligence and its associated technologies such as decentralized autonomous organizations and operations, large language models, and human-oriented operating systems. Specifically, we explain what ACS is and explore its distinctive features in comparison to traditional crowdsensing. Moreover, we present the "6A-goal" of ACS and propose potential avenues for future research.
关键词	Crowdsensing Sensors Task analysis Robot sensing systems Decentralized autonomous organization Automation Artificial intelligence Cyber-physical-social systems (CPSS) crowdsensing intelligence (CSI) autonomous crowdsensing
DOI	10.1109/TIV.2024.3355508
关键词[WOS]	INTELLIGENCE ; TRUSTWORTHY ; FRAMEWORK ; CHATGPT ; SYSTEMS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
项目资助者	National Natural Science Foundation of China
WOS研究方向	Computer Science ; Engineering ; Transportation
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001214544700009
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/58392
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	Peng, Yong; Wang, Fei-Yue
作者单位	1.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Hunan, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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	Wu, Wansen,Yang, Weiyi,Li, Juanjuan,et al. Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(3):4254-4258.
APA	Wu, Wansen.,Yang, Weiyi.,Li, Juanjuan.,Zhao, Yong.,Zhu, Zhengqiu.,...&Wang, Fei-Yue.(2024).Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(3),4254-4258.
MLA	Wu, Wansen,et al."Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.3(2024):4254-4258.