Dynamics State Estimation on Simulation driving patterns c2: COR
0.0186MDE (meter)KODE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KODE2026.03 | 0.0186 | 0.0331 | |
| TransformerArchitecture=Delta (△)2026.03 | 0.0421 | 0.0831 | |
| MLPArchitecture=Delta (△)2026.03 | 0.0535 | 1.073 | |
| DeepEDMD*2026.03 | 0.0566 | 0.1012 | |
| MLP2026.03 | 0.0574 | 0.1143 | |
| DDK*2026.03 | 0.0687 | 0.1205 | |
| KAN2026.03 | 0.0764 | 0.1228 | |
| 6 DoF modelVariant=BP2026.03 | 0.0808 | 0.2426 | |
| DeepEDMD2026.03 | 0.3044 | 0.6822 | |
| KANArchitecture=Delta (△)2026.03 | 0.3476 | 0.6888 | |
| linear modelVariant=LS2026.03 | 0.5379 | 1.0405 | |
| EDMD*Kernel=Invquad2026.03 | 0.5631 | 1.0196 | |
| EDMD*Kernel=Invmultquad2026.03 | 1.1202 | 2.2939 | |
| EDMD*Kernel=Thinplate2026.03 | 1.2985 | 2.9354 | |
| linear modelVariant=BP2026.03 | 1.8098 | 3.6884 | |
| EDMD*Kernel=Gaussian2026.03 | 1.8374 | 3.7574 |