6 datasets found

The Argoverse motion forecasting dataset is used to evaluate the proposed method. It contains more than 30K scenarios collected in Pittsburgh and Miami.

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

Argoverse 1 Motion Forecasting is a dataset that allows us to train a model on a vast collection of 323, 557 scenarios of 5 seconds each. Each scenario is a 2D bird-eye-view of...

The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the...

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.

The Waymo Open Motion Dataset is a large-scale dataset for autonomous driving, containing 104,000 20-second frames of driving scenarios marked at 10 Hz.