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

文献类型：期刊论文

作者Gao Yuan1; Zhao Ze1; Huang Changcheng2; Han Chuanqi1; Cui Li1
刊名INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
出版日期2020
卷号16期号:1页码:13
ISSN号1550-1477
关键词In-vehicle localization Bluetooth Low Energy received signal strength indicator multi-channel Adaboost support vector machine device calibration
DOI10.1177/1550147719900093
英文摘要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.
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
语种英语
出版者SAGE PUBLICATIONS INC
WOS记录号WOS:000509248500001
源URL[http://119.78.100.204/handle/2XEOYT63/15006]  
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.

入库方式： OAI收割

来源：计算技术研究所

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