Robot Position Estimation on M2 simulation map
0.859Average RMSE (m)RFM-SLAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| RFM-SLAMalpha=1, beta=12016.09 | 0.859 | 0 | — | |
| RFM-SLAMalpha=1, beta=22016.09 | 0.947 | 0 | — | |
| RFM-SLAMalpha=1, beta=42016.09 | 0.982 | 0 | — | |
| RFM-SLAMalpha=1, beta=32016.09 | 0.997 | 0 | — | |
| GTSAMalpha=1, beta=12016.09 | 1.718 | 1 | — | |
| GTSAMalpha=4, beta=12016.09 | 1.771 | 0 | — | |
| RFM-SLAMalpha=2, beta=22016.09 | 1.898 | 0 | — | |
| RFM-SLAMalpha=2, beta=12016.09 | 1.976 | 0 | — | |
| RFM-SLAMalpha=2, beta=32016.09 | 2.422 | 0 | — | |
| RFM-SLAMalpha=2, beta=42016.09 | 2.442 | 0 | — | |
| GTSAMalpha=2, beta=12016.09 | 2.682 | 2 | — | |
| GTSAMalpha=3, beta=12016.09 | 2.882 | 1 | — | |
| RFM-SLAMalpha=3, beta=12016.09 | 3.365 | 0 | — | |
| RFM-SLAMalpha=3, beta=42016.09 | 3.384 | 0 | — | |
| RFM-SLAMalpha=3, beta=22016.09 | 3.475 | 0 | — | |
| RFM-SLAMalpha=3, beta=32016.09 | 3.623 | 0 | — | |
| RFM-SLAMalpha=4, beta=12016.09 | 4.4 | 0 | — | |
| RFM-SLAMalpha=4, beta=22016.09 | 4.471 | 0 | — | |
| GTSAMalpha=3, beta=22016.09 | 4.528 | 1 | — | |
| RFM-SLAMalpha=4, beta=42016.09 | 5.193 | 0 | — | |
| RFM-SLAMalpha=4, beta=32016.09 | 5.288 | 0 | — | |
| GTSAMalpha=2, beta=22016.09 | 13.214 | 7 | — | |
| GTSAMalpha=1, beta=22016.09 | 14.593 | 10 | — | |
| GTSAMalpha=4, beta=22016.09 | 17.472 | 8 | 5 | |
| GTSAMalpha=1, beta=32016.09 | 19.445 | 13 | — | |
| GTSAMalpha=4, beta=32016.09 | 20.461 | 11 | 3 | |
| GTSAMalpha=3, beta=32016.09 | 21.675 | 12 | 5 | |
| GTSAMalpha=2, beta=32016.09 | 25.437 | 16 | 1 | |
| GTSAMalpha=2, beta=42016.09 | 28.777 | 15 | 1 | |
| GTSAMalpha=1, beta=42016.09 | 31.084 | 18 | 1 | |
| GTSAMalpha=4, beta=42016.09 | 33.397 | 17 | 4 | |
| GTSAMalpha=3, beta=42016.09 | 39.631 | 21 | 4 |