Argoverse Autonomous Driving

The Argoverse dataset consists of two parts: 3D Tracking and Motion Forecasting. The Argoverse 3D tracking dataset contains 3D tracking annotations for 113 scenes. Each segment is 15-30 seconds long, and contains a total of 11,319 tracked objects. Each segment scene in the training set and the test set contains annotations for all objects within five meters, which can be understood as detecting all objects in the drivable area (5 meters) of the car, presented in the form of a 3D frame. This dataset can be used in fields such as autonomous driving. The Argoverse Motion Forecasting dataset is a dataset for motion prediction models, containing 327,793 scenes, each scene lasting 5 seconds, and containing a 2D bird's-eye view of each tracked object sampled at 10 Hz. This dataset was obtained from more than 1,000 hours of street driving and can be used for research in fields such as autonomous driving.