Indoor Mapping and Localization for Pedestrians using Opportunistic Sensing with Smartphones
文献类型：会议论文
| 作者 | Qing Liang; Lujia Wang; Youfu Li; Ming Liu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 马德里 |
| 英文摘要 | Indoor localization based on Visible Light Com- munication (VLC) has been in favor with both the academia and industry for years. In this paper, we present a prototyping photodiode-based VLC system towards large-scale localization. Specially, we give in-depth analysis of the design constraints and considerations for large-scale indoor localization research. After that we identify the key enablers for such systems: 1) distributed architecture, 2) one-way communication, and 3) random multiple access. Accordingly, we propose Plugo — a photodiode-based VLC system conforming to the aforementioned criteria. We present a compact design of the VLC-compatible LED bulbs featuring plug-and-go use-cases. The basic framed slotted Additive Links On-line Hawaii Area (ALOHA) is ex- ploited to achieve random multiple access over the shared optical medium. We show its effectiveness in beacon broadcasting by experiments, and further demonstrate its scalability to large-scale scenarios through simulations. Finally, preliminary localization experiments are conducted using fingerprinting-based methods in a customized testbed, achieving an average accuracy of 0.14m along with a 90-percentile accuracy of 0.33m. |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14126]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Qing Liang,Lujia Wang,Youfu Li,et al. Indoor Mapping and Localization for Pedestrians using Opportunistic Sensing with Smartphones[C]. 见:. 马德里. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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