leveLXData - Real-World Scenario Data
Description: The rounD dataset is a trajectory dataset focusing on vehicle movements in roundabouts, capturing the complex dynamics and interactions of different vehicles within these circular intersection environments.
The rounD dataset is a new dataset of naturalistic road user trajectories recorded at German roundabouts. Using a drone, typical limitations of established traffic data collection methods like occlusions are overcome. Traffic was recorded at three different locations. The trajectory for each road user and its type is extracted. Using state-of-the-art computer vision algorithms, the positional error is typically less than 10 centimetres. The dataset is applicable on many tasks such as road user prediction, d
The rounD dataset was created and published by a team from the Institute for Automotive Engineering (ika) of RWTH Aachen University to promote research in many different domains of mobility. The dataset can therefore be downloaded and used free of charge for academic and research purposes.
The dataset includes:
leveLXData - Real-World Scenario Data