Comparison of Horizontal Localization Errors (m) on Test Data Sets
Our approach consistently outperforms the baseline, demonstrating significant improvements in localization accuracy. These results underscore the efficacy of our method in enhancing positioning accuracy across a range of conditions and devices.
| No. | Test Data Set Name | Device | Loose GNN + Kalman Filter (Mohanty & Gao, 2022) | Our Approach |
|---|---|---|---|---|
| 1 | 2021-04-02-US-SJC-1 | GooglePixel4 | 3.7 | 2.7 |
| 2 | 2021-04-02-US-SJC-1 | GooglePixel5 | 5.0 | 2.2 |
| 3 | 2021-04-02-US-SJC-1 | SamsungGalaxyS20Ultra | 4.1 | 2.5 |
| 4 | 2021-04-02-US-SJC-1 | XiaomiMi8 | 5.1 | 2.6 |
| 5 | 2021-04-26-US-SVL-2 | SamsungGalaxyS20Ultra | 3.7 | 2.1 |
| 6 | 2021-04-26-US-SVL-2 | XiaomiMi8 | 5.1 | 2.3 |
| 7 | 2021-08-04-US-SJC-1 | GooglePixel4 | 2.5 | 1.4 |
| 8 | 2021-08-04-US-SJC-1 | GooglePixel5 | 6.6 | 5.9 |
| 9 | 2021-08-04-US-SJC-1 | SamsungGalaxyS20Ultra | 3.0 | 1.4 |
| 10 | 2021-08-24-US-SVL-1 | GooglePixel4 | 4.2 | 1.3 |
| 11 | 2021-08-24-US-SVL-1 | GooglePixel5 | 4.8 | 1.4 |
| 12 | 2021-08-24-US-SVL-1 | SamsungGalaxyS20Ultra | 2.9 | 1.9 |
| 13 | 2021-08-24-US-SVL-1 | XiaomiMi8 | 2.8 | 2.2 |