Dynamics State Estimation on Simulation driving patterns c4: LAM
0.0051MDE (meter)DeepEDMD*
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DeepEDMD*2026.03 | 0.0051 | 0.0095 | |
| KODE2026.03 | 0.0051 | 0.0113 | |
| TransformerArchitecture=Delta (△)2026.03 | 0.0194 | 0.032 | |
| MLPArchitecture=Delta (△)2026.03 | 0.0244 | 0.0459 | |
| EDMD*Kernel=Gaussian2026.03 | 0.0278 | 0.0375 | |
| linear modelVariant=BP2026.03 | 0.0647 | 0.1564 | |
| KANArchitecture=Delta (△)2026.03 | 0.0809 | 0.1604 | |
| EDMD*Kernel=Invquad2026.03 | 0.1271 | 0.2625 | |
| linear modelVariant=LS2026.03 | 0.1373 | 0.273 | |
| EDMD*Kernel=Thinplate2026.03 | 0.2288 | 0.531 | |
| EDMD*Kernel=Invmultquad2026.03 | 0.2482 | 0.7975 | |
| DDK*2026.03 | 0.2856 | 0.5447 | |
| DeepEDMD2026.03 | 0.3297 | 0.6736 | |
| KAN2026.03 | 0.3571 | 0.778 | |
| MLP2026.03 | 0.4071 | 0.8423 | |
| 6 DoF modelVariant=BP2026.03 | 0.7946 | 2.1898 |