A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors

doi:10.1007/s11633-018-1150-y

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	A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
	Yuan Wu 1,2; Hai-Bing Zhu 1; Qing-Xiu Du 1; Shu-Ming Tang 1
刊名	International Journal of Automation and Computing
	2019
卷号	16 期号:1 页码:65-83
关键词	Inertial measurement unit (IMU) pedestrian dead-reckoning indoor navigation technical route general framework.
ISSN号	1476-8186
DOI	10.1007/s11633-018-1150-y
英文摘要	With the development of micro-electromechanical systems (MEMS), miniaturized, low-power and low-cost inertial measurement units (IMUs) have been widely integrated into mobile terminals and smart wearable devices. This provides the prospect of a broad application for the inertial sensor-based pedestrian dead-reckoning (IPDR) systems. Especially for indoor navigation and indoor positioning, the IPDR systems have many unique advantages that other methods do not have. At present, a large number of technologies and methods for IPDR systems are proposed. In this paper, we have analyzed and outlined the IPDR systems based on about 80 documents in the field of IPDR in recent years. The article is structured in the form of an introduction-elucidation-conclusion framework. First, we proposed a general framework to explore the structure of an IPDR system. Then, according to this framework, the IPDR system was divided into six relatively independent sub-problems, which were discussed and summarized separately. Finally, we proposed a graph structure of IPDR systems, and a sub-directed graph, formed by selecting a combined path from the start node to the end node, skillfully constitutes a technical route of one specific IPDR system. At the end of the article, we summarized some key issues that need to be resolved before the IPDR systems are widely used.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42322]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式 GB/T 7714	Yuan Wu,Hai-Bing Zhu,Qing-Xiu Du,et al. A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors[J]. International Journal of Automation and Computing,2019,16(1):65-83.
APA	Yuan Wu,Hai-Bing Zhu,Qing-Xiu Du,&Shu-Ming Tang.(2019).A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors.International Journal of Automation and Computing,16(1),65-83.
MLA	Yuan Wu,et al."A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors".International Journal of Automation and Computing 16.1(2019):65-83.