HetroD Challenge
A benchmark for realistic future trajectory simulation in complex multi-agent urban scenes.
Back to HomeThis challenge focuses on multi-agent traffic simulation in highly heterogeneous urban environments, based on HetroD dataset. The goal is to evaluate models' ability to predict and simulate realistic future trajectories in complex traffic scenes involving vehicles, scooters, cyclists, and pedestrians.
Given 1.1 seconds of historical observations for all agents in a scene, participants are required to predict 8 seconds of future multi-agent trajectories.
Add official submissions and scores when the benchmark server is ready.
| Rank | Team | Method | Kinematic Score | Safety Score | Trajectory Score | Overall |
|---|---|---|---|---|---|---|
| 1 | Baseline Team | ExampleNet-v1 | -- | -- | -- | -- |
| 2 | Pending | Pending | -- | -- | -- | -- |
| 3 | Pending | Pending | -- | -- | -- | -- |