Name
Abstract | ||
|---|---|---|
The indoor localization relies on the IMU sensor on the smartphone because there is no signal like GPS that compensates for location in real time like the outdoor. However, if IMU sensors are not periodically reset, the localization error will increase. Although various methods are suggested, it is difficult to apply it to any indoor location because there are few methods considering the spatial characteristics of the indoor. In this paper, we divided the indoor characteristics into two parts and suggested an integrated system considering the spatial characteristics. |
Year | Venue | Field |
|---|---|---|
2017 | ICIRA | Real-time computing,Control engineering,Global Positioning System,Inertial measurement unit,Engineering,Landmark |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongjun Yang | 1 | 0 | 0.34 |
| Younggoo Kwon | 2 | 367 | 27.19 |