Details of Research Outputs

TitleAn Indoor Knowledge Graph Framework for Efficient Pedestrian Localization
Author (Name in English or Pinyin)
Guo, Sheng1,2; Niu, Guanchong1,2,3; Wang, Zewei1; Pun, Man-On1,2,3; Yang, Kai4
Date Issued2021-02-15
Source PublicationIEEE SENSORS JOURNAL
ISSN1530-437X
DOI10.1109/JSEN.2020.3029098
Indexed BySCIE
Firstlevel Discipline信息科学与系统科学
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 21 期: 4 页: 5151-5163
References
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Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1958
CollectionSchool of Science and Engineering
Corresponding AuthorPun, Man-On
Affiliation
1.Chinese Univ Hong Kong Shenzhen , Sch Sci & Engn, Shenzhen 518172, Peoples R China
2.Chinese Univ Hong Kong Shenzhen , Shenzhen Key Lab IoT Intelligent Syst & Wireless, Shenzhen 518172, Peoples R China
3.Chinese Univ Hong Kong Shenzhen , Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
4.Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China
First Author AffilicationThe Chinese University of HongKong,Shenzhen
Corresponding Author AffilicationThe Chinese University of HongKong,Shenzhen
Recommended Citation
GB/T 7714
Guo, Sheng,Niu, Guanchong,Wang, Zeweiet al. An Indoor Knowledge Graph Framework for Efficient Pedestrian Localization[J]. IEEE SENSORS JOURNAL,2021.
APA Guo, Sheng, Niu, Guanchong, Wang, Zewei, Pun, Man-On, & Yang, Kai. (2021). An Indoor Knowledge Graph Framework for Efficient Pedestrian Localization. IEEE SENSORS JOURNAL.
MLA Guo, Sheng,et al."An Indoor Knowledge Graph Framework for Efficient Pedestrian Localization".IEEE SENSORS JOURNAL (2021).
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