Dynamics State Estimation on Real-world six-wheel DET vehicle (test)
0.0722MDEKODE-S2R
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| KODE-S2RTraining=sim-to-real adaptation, Encoder=frozen, Operator=only updated2026.03 | 0.0722 | 0.1206 | 0.1001 | 0.2011 | |
| KODETraining=trained from scratch2026.03 | 0.2508 | 0.4991 | 0.1025 | 0.2125 | |
| DeepEDMD*Backbone=MLP encoder2026.03 | 0.2774 | 0.4937 | 5.7466 | 10.369 | |
| EDMD*_{Invquad}2026.03 | 1.2098 | 2.0335 | 2.0702 | 4.4623 | |
| Linear model (LS)Method description=Least Squares2026.03 | 2.0039 | 3.9822 | 23.2635 | 46.0574 | |
| Linear model (BP)Method description=Back-propagation2026.03 | 2.1753 | 4.3873 | 0.4035 | 1.1294 |