Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review

doi:10.1109/JSEN.2022.3213836

	Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review
	Wang, Qu 1,2; Fu, Meixia 1; Wang, Jianquan 1; Luo, Haiyong 3; Sun, Lei 1; Ma, Zhangchao 1; Li, Wei 4; Zhang, Chaoyi 1; Huang, Rong 5; Li, Xianda 5; Jiang, Zhuqing 6; Liang, Qilian 7
	2022-12-01
发表期刊	IEEE SENSORS JOURNAL
ISSN	1530-437X
卷号	22 期号:23 页码:22319-22343
摘要	Indoor location-based service is a hot research topic whose application market size is expected to grow from $\$ $ 41 billion by 2022 and $\$ $ 58 billion by 2023. As a portable communication device, smartphones have inherent advantages (such as being an essential gadget in daily life, embedding various sensors, and having powerful computing and storage ability), which provides a great opportunity for human activity recognition and pedestrian navigation. Smartphone-based pedestrian inertial navigation systems (PINSs) utilize measurements from inertial sensors embedded in smartphones to reckon the pedestrian's location. Compared with other indoor position technologies, PINS has the advantage of autonomy and continuity, and can achieve high-precision positioning in a short period. Though various PINS methods based on the smartphone have been proposed, up-to-date review papers that summarize relevant technologies, methods, and solutions of PINS are relatively less so far in the literature. This article aims to provide an elaborated, timely, and valuable survey of different infrastructure-free pedestrian positioning and navigation techniques, including pedestrian inertial navigation methods, performance evaluation, and applications. Finally, current challenges and future research trends are discussed. This work propels a better understanding of existing pedestrian inertial positioning methods. It is helpful for researchers to further design and develop more accurate and robust pedestrian positioning and navigation systems based on inertial sensors embedded in the smartphone.
关键词	Indoor positioning inertial navigation pedestrian dead reckoning (PDR) performance evaluation
DOI	10.1109/JSEN.2022.3213836
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program[2020YFB1708800] ; China Postdoctoral Science Foundation[2021M700385] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515110577] ; Guangdong Key Research and Development Program[2020B0101130007] ; Fundamental Research Funds for Central Universities[FRF-MP-20-37] ; National Natural Science Foundation of China[61872046] ; National Natural Science Foundation of China[62002026] ; Beijing Natural Science Foundation[4212024]
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
WOS类目	Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS记录号	WOS:000893571900004
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/20158
专题	中国科学院计算技术研究所期刊论文
通讯作者	Wang, Jianquan; Luo, Haiyong
作者单位	1.Univ Sci & Technol Beijing, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China 2.Univ Sci & Technol Beijing, Shunde Grad Sch, Foshan 528399, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 4.Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China 5.Res Inst China Unicom, Beijing 100190, Peoples R China 6.Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China 7.Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
推荐引用方式 GB/T 7714	Wang, Qu,Fu, Meixia,Wang, Jianquan,et al. Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review[J]. IEEE SENSORS JOURNAL,2022,22(23):22319-22343.
APA	Wang, Qu.,Fu, Meixia.,Wang, Jianquan.,Luo, Haiyong.,Sun, Lei.,...&Liang, Qilian.(2022).Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review.IEEE SENSORS JOURNAL,22(23),22319-22343.
MLA	Wang, Qu,et al."Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review".IEEE SENSORS JOURNAL 22.23(2022):22319-22343.