Trajectory Prediction
Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.
Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
Papers
Showing 1–10 of 1004 papers
All datasetsnuScenesStanford DroneETH/UCYETHJAADPIEActEVINTERACTION Dataset - ValidationPAIDTrajNetApolloScapeHEV-I
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Bayesian-LSTM | MSE(0.5) | 159 | — | Unverified |
| 2 | FOL-X | MSE(0.5) | 147 | — | Unverified |
| 3 | PIE_traj | MSE(0.5) | 110 | — | Unverified |
| 4 | BiTrap-D | MSE(0.5) | 93 | — | Unverified |
| 5 | SGNet | MSE(0.5) | 82 | — | Unverified |