Dynamics State Estimation on Simulation driving patterns c1: FRO
0.0064MDE (meter)6 DoF model
Evaluation results
| Method | Links | ||
|---|---|---|---|
| 6 DoF modelVariant=GT2026.03 | 0.0064 | 0.015 | |
| KODE2026.03 | 0.012 | 0.0323 | |
| TransformerArchitecture=Delta (△)2026.03 | 0.014 | 0.0272 | |
| MLPArchitecture=Delta (△)2026.03 | 0.0293 | 0.0779 | |
| DeepEDMD*2026.03 | 0.0334 | 0.068 | |
| 6 DoF modelVariant=BP2026.03 | 0.0376 | 0.0977 | |
| KANArchitecture=Delta (△)2026.03 | 0.0676 | 0.1458 | |
| EDMD*Kernel=Thinplate2026.03 | 0.433 | 0.8552 | |
| EDMD*Kernel=Invquad2026.03 | 0.5373 | 1.1711 | |
| linear modelVariant=BP2026.03 | 0.557 | 1.0847 | |
| EDMD*Kernel=Gaussian2026.03 | 0.5585 | 1.0902 | |
| EDMD*Kernel=Invmultquad2026.03 | 0.575 | 1.3703 | |
| DeepEDMD2026.03 | 0.7465 | 1.1394 | |
| linear modelVariant=LS2026.03 | 0.9167 | 1.8189 | |
| DDK*2026.03 | 1.6214 | 3.5264 | |
| MLP2026.03 | 1.6777 | 3.6579 | |
| KAN2026.03 | 1.6925 | 3.6847 |