Trajectory Forecasting on Hotel ETH scene (test)
0.12ADETrajectron++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Trajectron++mode=probabilistic, output_type=Full, best_of_n_samples=202020.01 | 0.12 | 0.21 | |
| Trajectron++mode=probabilistic, output_type=Full, best_of_n_samples=20, integration_via_dynamics=true2020.01 | 0.12 | 0.19 | |
| Trajectron++mode=deterministic, output_type=Most Likely (ML)2020.01 | 0.22 | 0.46 | |
| Trajectron++mode=deterministic, output_type=Most Likely (ML), integration_via_dynamics=true2020.01 | 0.22 | 0.46 | |
| S-ATTNmode=deterministic2020.01 | 0.29 | 2.64 | |
| Trajectronmode=probabilistic, best_of_n_samples=202020.01 | 0.35 | 0.66 | |
| Linearmode=deterministic2020.01 | 0.39 | 0.72 | |
| MATFmode=probabilistic, best_of_n_samples=202020.01 | 0.43 | 0.8 | |
| S-GANmode=probabilistic, best_of_n_samples=202020.01 | 0.72 | 1.61 | |
| SoPhiemode=probabilistic, best_of_n_samples=202020.01 | 0.76 | 1.67 | |
| S-LSTMmode=deterministic2020.01 | 0.79 | 1.76 | |
| LSTMmode=deterministic2020.01 | 0.86 | 1.91 |