Constructing an Indoor Floor Plan Using Crowdsourcing Based on Magnetic Fingerprinting
文献类型：期刊论文
| 作者 | Luo, Haiyong1; Zhao, Fang2; Jiang, Mengling2; Ma, Hao2; Zhang, Yuexia3 |
| 刊名 | SENSORS
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000416790500240 |
| 出版者 | MDPI AG |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
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