-
DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction
Road user trajectory prediction in dynamic environments is a challenging but crucial task for various applications, such as autonomous driving. One of the main challenges in... -
INTERACTION dataset
The INTERACTION dataset is a highly interactive driving dataset containing merges, roundabouts, and intersections. -
The rounD dataset
The rounD dataset contains trajectories from various locations in Germany captured at a frequency of 25 Hz. -
The highD dataset
A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems. -
Stanford Drone Dataset
The Stanford Drone Dataset is a well-established benchmark for human trajectory prediction in bird’s eye view. The dataset consists of 20 scenes captured using a drone in...