Multi-agent trajectory prediction on 10-agent scenarios inferred goals
0.2213ADE (m)PSN-Partial
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PSN-PartialParameter=|Ui| = 22025.04 | 0.2213 | 0.33 | 0.9909 | 3 | |
| PSN-PartialParameter=mth = 0.52025.04 | 0.2296 | 0.3295 | 0.991 | 2.62 | |
| PSN-FullParameter=|Ui| = 22025.04 | 0.2314 | 0.3401 | 0.9936 | 3 | |
| Cost EvolutionParameter=|Ui| = 22025.04 | 0.2339 | 0.3426 | 0.9776 | 3 | |
| kNNsParameter=|Ui| = 22025.04 | 0.2343 | 0.3485 | 0.9908 | 3 | |
| HessianParameter=|Ui| = 22025.04 | 0.236 | 0.3489 | 0.9928 | 3 | |
| CBFParameter=|Ui| = 22025.04 | 0.2368 | 0.3519 | 0.9933 | 3 | |
| BFParameter=|Ui| = 22025.04 | 0.2369 | 0.3508 | 0.9923 | 3 | |
| GradientParameter=|Ui| = 22025.04 | 0.2392 | 0.3517 | 0.993 | 3 | |
| DistanceParameter=dth = 1.5m2025.04 | 0.2438 | 0.3638 | 0.9931 | 2.29 | |
| PSN-FullParameter=mth = 0.52025.04 | 0.2499 | 0.361 | 0.9936 | 2.06 | |
| Cost EvolutionParameter=|U^i| = 22025.04 | 0.4679 | 0.8002 | 0.9783 | 3 | |
| PSN-FullParameter=|U^i| = 22025.04 | 0.4697 | 0.8054 | 0.9935 | 3 | |
| PSN-FullParameter=m_th = 0.52025.04 | 0.4772 | 0.8094 | 0.9936 | 2.09 | |
| DistanceParameter=d_th = 1.5m2025.04 | 0.478 | 0.8083 | 0.9935 | — | |
| PSN-PartialParameter=|U^i| = 22025.04 | 0.4782 | 0.8101 | 0.991 | 3 | |
| PSN-PartialParameter=m_th = 0.52025.04 | 0.4794 | 0.8214 | 0.9909 | 2.65 | |
| kNNsParameter=|U^i| = 22025.04 | 0.483 | 0.8272 | 0.9909 | 3 | |
| GradientParameter=|U^i| = 22025.04 | 0.4833 | 0.8323 | 0.9899 | 3 | |
| BFParameter=|U^i| = 22025.04 | 0.4835 | 0.8274 | 0.9921 | 3 | |
| HessianParameter=|U^i| = 22025.04 | 0.4839 | 0.8289 | 0.9919 | 3 | |
| CBFParameter=|U^i| = 22025.04 | 0.4843 | 0.8343 | 0.993 | 3 |