Abstract
Indoor positioning technique is one of the key research issues due to highly demandable market value to provide Location Based Services (LBS) using smart phone. In optical camera communication (OCC) case one of the main advantages in indoor navigation system is LED itself can transmit location information along with unique feature of a camera to detect location using photogrammetry. However due to nonlinear and highly complicated relationship between 3D scenery and pictured 2D image need to develop complex mathematical model to estimate position of camera using photogrammetry. Neural network can be used to learn this complicated relationship without developing any complex mathematical model. We have used feed forward neural network to estimate camera position using coordinate information transmitted by LED.
| Original language | English |
|---|---|
| Title of host publication | IPIN 2014 |
| Subtitle of host publication | Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 431-435 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467380546 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014 - Busan, Korea, Republic of Duration: 27 Oct 2014 → 30 Oct 2014 |
Other
| Other | 5th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2014 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 27/10/14 → 30/10/14 |
Keywords
- camera
- indoor positioning
- neural network
- optical camera communication
- smart phone