About the Dataset
The inD dataset is a new dataset of naturalistic vehicle trajectories recorded at German intersections. Using a drone, typical limitations of established traffic data collection methods like occlusions are overcome. Traffic was recorded at four 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, driver modeling, scenario-based safety validation of automated driving systems or data-driven development of HAD system components.
The inD 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.
🚚 All Types of Road Users
The dataset includes:
- Vehicles (car, truck, bus)
- Pedestrians
- Bicyclists
⭐ High Quality and Variety
The dataset features:
- Four different recording locations
- Different intersection types
- Typical positioning error <10 cm
Citation
@inproceedings{inDdataset,
title={The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections},
author={Bock, Julian and Krajewski, Robert and Moers, Tobias and Runde, Steffen and Vater, Lennart and Eckstein, Lutz},
booktitle={2020 IEEE Intelligent Vehicles Symposium (IV)},
pages={1929-1934},
year={2020},
doi={10.1109/IV47402.2020.9304839}
}
Application for Access for Non-Commercial Use
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.
Commercial Use
The inD dataset is free for non-commercial use only. If you are interested in commercial use, please visit https://levelxdata.com. Under levelXdata, fka GmbH combines its expertise in the field of data acquisition and processing for all stages of automated driving.
Full Usage Rights
Acquire the rights to use the dataset for commercial purposes and develop your own commercial applications and solutions.
Analysis
The leveLXData team can provide or support your analyses, evaluations and also parameterization of models on the basis of the data.
Individual Solutions
leveLXData can tailor a dataset for your requirement, either from an extensive database or based on new traffic recordings along your needs.
More Datasets
In addition to the inD dataset, we used the same methodlogy to create more datasets. Specifically, the highD dataset covers trajectories of vehicles on German highways. The interactions of vehicles at entries and exits of German highways are captured in the exiD dataset.
The rounD dataset contains trajectories of road users at roundabouts in Germany. Similarly the uniD dataset covers the behavior of road users at the RWTH Aachen University Campus. Find out more about these datasets on the individual websites.