Robot Position Estimation on M1 simulation map
1.004Average RMSE (m)GTSAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTSAMalpha=1, beta=12016.09 | 1.004 | 0 | — | |
| RFM-SLAMalpha=1, beta=12016.09 | 1.475 | 0 | — | |
| GTSAMalpha=2, beta=12016.09 | 1.696 | 0 | — | |
| RFM-SLAMalpha=1, beta=22016.09 | 1.789 | 0 | — | |
| RFM-SLAMalpha=1, beta=32016.09 | 1.894 | 0 | — | |
| GTSAMalpha=3, beta=12016.09 | 2.182 | 0 | — | |
| RFM-SLAMalpha=1, beta=42016.09 | 2.256 | 0 | — | |
| GTSAMalpha=4, beta=12016.09 | 2.687 | 0 | — | |
| GTSAMalpha=3, beta=22016.09 | 2.708 | 0 | — | |
| RFM-SLAMalpha=2, beta=12016.09 | 2.822 | 0 | — | |
| RFM-SLAMalpha=2, beta=32016.09 | 2.873 | 0 | — | |
| RFM-SLAMalpha=2, beta=22016.09 | 3.243 | 0 | — | |
| RFM-SLAMalpha=2, beta=42016.09 | 3.629 | 0 | — | |
| GTSAMalpha=2, beta=22016.09 | 3.772 | 2 | — | |
| GTSAMalpha=4, beta=22016.09 | 3.79 | 0 | — | |
| RFM-SLAMalpha=3, beta=22016.09 | 3.909 | 0 | — | |
| RFM-SLAMalpha=3, beta=12016.09 | 4.395 | 0 | — | |
| RFM-SLAMalpha=3, beta=32016.09 | 4.843 | 0 | — | |
| GTSAMalpha=3, beta=32016.09 | 4.999 | 3 | 1 | |
| RFM-SLAMalpha=4, beta=12016.09 | 5.028 | 0 | — | |
| RFM-SLAMalpha=4, beta=22016.09 | 5.246 | 0 | — | |
| RFM-SLAMalpha=3, beta=42016.09 | 5.377 | 0 | — | |
| GTSAMalpha=1, beta=42016.09 | 5.389 | 4 | — | |
| GTSAMalpha=4, beta=32016.09 | 6.417 | 3 | 3 | |
| RFM-SLAMalpha=4, beta=32016.09 | 6.592 | 0 | — | |
| RFM-SLAMalpha=4, beta=42016.09 | 6.738 | 0 | — | |
| GTSAMalpha=3, beta=42016.09 | 6.856 | 2 | 1 | |
| GTSAMalpha=2, beta=32016.09 | 7.5 | 7 | — | |
| GTSAMalpha=1, beta=22016.09 | 8.846 | 8 | — | |
| GTSAMalpha=4, beta=42016.09 | 9.64 | 7 | 5 | |
| GTSAMalpha=1, beta=32016.09 | 10.489 | 8 | — | |
| GTSAMalpha=2, beta=42016.09 | 10.83 | 7 | — |