Abstract
This work presents a vision-based navigation system designed for Indoor localization. The suggested framework operates as a standalone 3D positioning system by fusing a sophisticated optical-flow pedometry with map-constrains using an advanced particle filter. The presented method requires no personal calibration and works on standard smart-phones with relatively low energy consumption. Preliminary field experiments on Android smart-phones show that the expected 3D error is about 1 − 2 meters in most real-life scenarios.
| Original language | English |
|---|---|
| Pages (from-to) | 299-306 |
| Number of pages | 8 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2498 |
| State | Published - 1 Jan 2019 |
| Event | Short Paper of the 10th International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2019 - Pisa, Italy Duration: 30 Sep 2019 → 3 Oct 2019 |
All Science Journal Classification (ASJC) codes
- General Computer Science