Leg Odometry on Real World Dataset
17.2ATE (m)Autoencoder CNN
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Autoencoder CNNArchitecture=CNN2026.06 | 17.2 | 31.9 | 49.93 | 3.22 | 28.66 | 30.54 | |
| Autoencoder GRUArchitecture=GRU2026.06 | 18.87 | 44.11 | 62.08 | 3.3 | 40.07 | 39.95 | |
| Supervised CNNArchitecture=CNN2026.06 | 21.95 | 44.67 | 68.42 | 3.24 | 50.95 | 50.76 | |
| Supervised GRUArchitecture=GRU2026.06 | 22.16 | 45.45 | 69.37 | 3.25 | 51.47 | 51.37 | |
| GRF Threshold2026.06 | 25.36 | 55.12 | 76.21 | 3.33 | 57.24 | 57.07 | |
| HMM-GMMMode=Offline2026.06 | 27.13 | 57.13 | 82.98 | 3.36 | 61.82 | 61.76 | |
| HMM-GMMMode=Online2026.06 | 28.68 | 61.18 | 88.72 | 3.33 | 64.84 | 64.72 |