Name
Abstract | ||
|---|---|---|
The rapid development of mobile devices and mobile Internet increases demands for location-based services. In outdoor environments, the mobile devices can obtain precise positioning through GPS localization. While in indoor environments, it is difficult to receive GPS signal. Researchers have proposed many methods to produce relative position rather than physical position. In this paper, we propose a new localization approach called OA-Loc which utilizes outdoor mobile devices' GPS information for precise reference points. And with the RSSI between outdoor and indoor devices it could help the latter to obtain physical position. We analyze in detail the working principle of the approach, and provide a detailed design. We also implement our technique on mobile devices and evaluate it in real-world scenarios. The results show that our approach has high feasibility and decent accuracy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4304/jcp.9.4.1014-1019 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
indoor localization, mobile devices, outdoor assisted | Computer vision,Mobile internet,Computer science,Real-time computing,Mobile device,Global Positioning System,Artificial intelligence,GPS signals,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 4 | 1796-203X |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Liu | 1 | 239 | 15.80 |
| Xiaojun Zhou | 2 | 0 | 0.34 |