Trajectory Prediction on PIE
24.82ADEPIE
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| PIEModalities=t, s, e2026.06 | 24.82 | — | — | — | — | — | — | 53.74 | |
| Attention-based Model for Robust ForecastingModalities=t, s, e2026.06 | 26.34 | — | — | — | — | — | — | 52.14 | |
| PIEModalities=t, s, g2026.06 | 27.81 | — | — | — | — | — | — | 62.12 | |
| MVAEModalities=t, s, e2026.06 | 30.51 | — | — | — | — | — | — | 71.28 | |
| Attention-based Model for Robust ForecastingModalities=t, s, g2026.06 | 31.96 | — | — | — | — | — | — | 58.01 | |
| MVAEModalities=t, s, g2026.06 | 48.12 | — | — | — | — | — | — | 88.13 | |
| MS-LSTMModalities=t, s, e2026.06 | 50.13 | — | — | — | — | — | — | 97.39 | |
| MS-LSTMModalities=t, s, g2026.06 | 55.44 | — | — | — | — | — | — | 101.12 | |
| FPLModalities=t, s, e2026.06 | 77.67 | — | — | — | — | — | — | 150.12 | |
| FPLModalities=t, s, g2026.06 | 81.79 | — | — | — | — | — | — | 155.35 | |
| B-LSTMmode=deterministic2020.07 | — | 101 | 296 | 855 | 811 | 3,259 | — | — | |
| BiTraP-Dmode=deterministic2020.07 | — | 41 | 161 | 511 | 481 | 1,949 | — | — | |
| BiTraP-GMMmode=multi-modal, samples=202020.07 | — | 38 | 90 | 209 | 171 | 368 | 13.8 | — | |
| BiTraP-NPmode=multi-modal, samples=202020.07 | — | 23 | 48 | 102 | 81 | 261 | 16.5 | — | |
| FOL-Xmode=deterministic2020.07 | — | 47 | 183 | 584 | 546 | 2,303 | — | — | |
| Linearmode=deterministic2020.07 | — | 123 | 477 | 1,365 | 950 | 3,983 | — | — | |
| LSTMmode=deterministic2020.07 | — | 172 | 330 | 911 | 837 | 3,352 | — | — | |
| PIEfullmode=deterministic2020.07 | — | — | — | 556 | 520 | 2,162 | — | — | |
| PIEtrajmode=deterministic2020.07 | — | 58 | 200 | 636 | 596 | 2,477 | — | — |