Trajectory Forecasting on ETH scene UCY
0.22MADTrajectron++
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Trajectron++Model Base=LSTM-based, Social Context=Social, Evaluation Protocol=Best-of-202020.03 | 0.22 | 0.48 | |
| TFqModel Base=TF-based, Social Context=Individual, Evaluation Protocol=Best-of-202020.03 | 0.35 | 0.65 | |
| Trajectron++Model Base=LSTM-based, Social Context=Social, Evaluation Protocol=Best-of-202020.03 | 0.39 | 0.77 | |
| Soc-BIGATModel Base=LSTM-based, Social Context=Social + Map, Evaluation Protocol=Best-of-202020.03 | 0.55 | 1.32 | |
| S-GAN-indModel Base=LSTM-based, Social Context=Individual, Evaluation Protocol=Best-of-202020.03 | 0.6 | 1.26 | |
| TFqModel Base=TF-based, Social Context=Individual, Evaluation Protocol=Best-of-202020.03 | 0.61 | 1.12 | |
| Soc-BIGATModel Base=LSTM-based, Social Context=Social + Map, Evaluation Protocol=Best-of-202020.03 | 0.69 | 1.29 | |
| S-GANModel Base=LSTM-based, Social Context=Social, Evaluation Protocol=Best-of-202020.03 | 0.76 | 1.52 | |
| S-GAN-indModel Base=LSTM-based, Social Context=Individual, Evaluation Protocol=Best-of-202020.03 | 0.81 | 1.52 | |
| S-GANModel Base=LSTM-based, Social Context=Social, Evaluation Protocol=Best-of-202020.03 | 0.87 | 1.62 |