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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 (SDD)
The Stanford Drone Dataset (SDD) is a large-scale dataset that consists of 60 aerial-view videos captured by drones over Stanford University. SDD contains positions of more than... -
ETH-UCY Dataset
The ETH-UCY dataset consists of ETH, Hotel, Univ, Zara1, and Zara2 outdoor scenes captured from a bird’s-eye view. All scenes contain human trajectories in urban scenes.... -
TrajPRed: Trajectory Prediction with Region-based Relation Learning
Forecasting human trajectories in traffic scenes is critical for safety within mixed or fully autonomous systems. Human future trajectories are driven by two major stimuli,... -
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... -
Spectral Temporal Graph Neural Network for Trajectory Prediction
The SpecTGNN dataset is used for trajectory prediction tasks. It contains historical observations of multiple interactive agents and their environment.
