In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator

doi:10.1177/1550147719900093

	In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator
	Gao Yuan 1; Zhao Ze 1; Huang Changcheng 2; Han Chuanqi 1; Cui Li 1
	2020
发表期刊	INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
ISSN	1550-1477
卷号	16 期号:1 页码:13
摘要	High-precision in-vehicle localization is the basis for both in-vehicle location-based service and the analysis of the driver or passengers' behaviors. However, interferences like effects of multipath and reflection of the signals significantly raise great challenges to the positioning accuracy at in-vehicle environment. This article presents a novel high-precision in-vehicle localization method, namely, the LOC-in-a-Car, based on functional exploration and full use of multi-channel received signal strength indicator of Bluetooth Low Energy. To achieve higher positioning precision, a hierarchical computation algorithm based on Adaboost and support vector machine is proposed in our method. In particular, we also proposed a device calibration method to deal with the heterogeneity of different smartphone terminals. We developed an Android app as a component in which the channel time-sharing acquisition method is fulfilled, enabling smartphones to distinguish data from multi-channels. The system performance is verified via intensive experiments, of which the results show that our method can distinguish the locations of driver or passengers with an accuracy ranging from 86.80% to 92.02% for each seat on Nexus phone, and the overall accuracy is 89.86%, with standard deviation of 2.64%. On Huawei phone, the accuracy ranges from 85.43% to 93.33% with overall accuracy of 89.75% and standard deviation of 3.07%. Both outperform the existing methods.
关键词	In-vehicle localization Bluetooth Low Energy received signal strength indicator multi-channel Adaboost support vector machine device calibration
DOI	10.1177/1550147719900093
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[61672498] ; National Key Research and Development Program of China[2016YFC0302300]
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000509248500001
出版者	SAGE PUBLICATIONS INC
引用统计	被引频次：2[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/2XEOYT63/15007
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Cui Li
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Carleton Univ, Ottawa, ON, Canada
推荐引用方式 GB/T 7714	Gao Yuan,Zhao Ze,Huang Changcheng,et al. In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2020,16(1):13.
APA	Gao Yuan,Zhao Ze,Huang Changcheng,Han Chuanqi,&Cui Li.(2020).In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,16(1),13.
MLA	Gao Yuan,et al."In-vehicle localization based on multi-channel Bluetooth Low Energy received signal strength indicator".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 16.1(2020):13.