Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting

doi:10.3390/s17112678

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting
	Luo, Haiyong 1; Zhao, Fang 2; Jiang, Mengling 2; Ma, Hao 2; Zhang, Yuexia 3
刊名	SENSORS
	2017-11-01
卷号	17 期号:11 页码:15
关键词	indoor localization floor plan construction crowdsourcing affinity propagation clustering DTW
ISSN号	1424-8220
DOI	10.3390/s17112678
英文摘要	A large number of indoor positioning systems have recently been developed to cater for various location-based services. Indoor maps are a prerequisite of such indoor positioning systems; however, indoor maps are currently non-existent for most indoor environments. Construction of an indoor map by external experts excludes quick deployment and prevents widespread utilization of indoor localization systems. Here, we propose an algorithm for the automatic construction of an indoor floor plan, together with a magnetic fingerprint map of unmapped buildings using crowdsourced smartphone data. For floor plan construction, our system combines the use of dead reckoning technology, an observation model with geomagnetic signals, and trajectory fusion based on an affinity propagation algorithm. To obtain the indoor paths, the magnetic trajectory data obtained through crowdsourcing were first clustered using dynamic time warping similarity criteria. The trajectories were inferred from odometry tracing, and those belonging to the same cluster in the magnetic trajectory domain were then fused. Fusing these data effectively eliminates the inherent tracking errors originating from noisy sensors; as a result, we obtained highly accurate indoor paths. One advantage of our system is that no additional hardware such as a laser rangefinder or wheel encoder is required. Experimental results demonstrate that our proposed algorithm successfully constructs indoor floor plans with 0.48 m accuracy, which could benefit location-based services which lack indoor maps.
资助项目	National Key Research and Development Program[2016YFB0502004] ; National Natural Science Foundation of China[61374214] ; Beijing Key Laboratory of Mobile Computing and Pervasive Device
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000416790500240
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/5516]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Luo, Haiyong
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 2.Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China 3.Beijing Informat Sci & Technol Univ, Sch Informat & Telecommun Engn, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Luo, Haiyong,Zhao, Fang,Jiang, Mengling,et al. Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting[J]. SENSORS,2017,17(11):15.
APA	Luo, Haiyong,Zhao, Fang,Jiang, Mengling,Ma, Hao,&Zhang, Yuexia.(2017).Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting.SENSORS,17(11),15.
MLA	Luo, Haiyong,et al."Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting".SENSORS 17.11(2017):15.