{"url":"/dataset/round-dataset","name":"rounD Dataset","full_name":"The Roundabout Drone Dataset","description_markdown":"The rounD dataset introduces a fresh compilation of natural road user trajectory data from German roundabouts, gathered using drone technology to navigate past usual challenges such as occlusions inherent in traditional traffic data collection methods. It includes traffic data from three unique locations, capturing the movement and categorizing each road user by type. Advanced computer vision algorithms are applied to ensure high positional accuracy. This dataset is highly adaptable for a variety of applications, including predicting road user behavior, driver modeling, scenario-based safety evaluations for automated driving systems, and the data-driven creation of Highly Automated Driving (HAD) system components.","description_withheld":null,"homepage":"https://levelxdata.com/round-dataset/","introduced_date":"2020-09-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-round-dataset-a-drone-dataset-of-road","title":"The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany","first_author":"Robert Krajewski","url":null},"license":{"name":"Non-Commercial","url":"https://levelxdata.com/round-dataset/"},"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Trajectory Prediction","url":"/task/trajectory-prediction","datasets_with_task":"/datasets/task/trajectory-prediction"},{"name":"Trajectory Forecasting","url":"/task/trajectory-forecasting","datasets_with_task":"/datasets/task/trajectory-forecasting"},{"name":"Trajectory Planning","url":"/task/trajectory-planning","datasets_with_task":"/datasets/task/trajectory-planning"},{"name":"Trajectory Modeling","url":"/task/trajectory-modeling","datasets_with_task":"/datasets/task/trajectory-modeling"},{"name":"Trajectory Clustering","url":"/task/trajectory-clustering","datasets_with_task":"/datasets/task/trajectory-clustering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["rounD Dataset"],"data_loaders":[{"repo":"https://github.com/woodoxen/tactics2d","url":"https://tactics2d.readthedocs.io/en/latest/","frameworks":[]}],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}