The uniD dataset is a new dataset of naturalistic road user trajectories recorded at the campus of the RWTH Aachen University. Using a drone, typical limitations of established traffic data collection methods like occlusions are overcome. 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, driver modeling, scenario-based safety validation of automated driving systems or data-driven development of HAD system components.
🚚 All Types of Road Users
The dataset includes:
- Vehicles (car, truck, trailer, van, bus)
- Bicyclists, Motorcycles
⭐ High Quality and Variety
The dataset features:
- Typical positioning error <10 cm
To apply for access to the dataset, please send us a request using this form. Please note that each request is checked manually. Therefore, make sure that that your answers are complete, detailed and correct. If any ambiguities arise, we may contact you for clarification purposes.
Full Usage Rights
Acquire the rights to use the dataset for commercial purposes and develop your own commercial applications and solutions.
The leveLXData team can provide or support your analyses, evaluations and also parameterization of models on the basis of the data.
leveLXData can tailor a dataset for your requirement, either from an extensive database or based on new traffic recordings along your needs.