{"url":"/dataset/exid-dataset","name":"exiD Dataset","full_name":"The Entries and Exits Drone Dataset","description_markdown":"The exiD dataset introduces a groundbreaking collection of naturalistic road user trajectories at highway entries and exits in Germany, meticulously captured with drones to navigate past the limitations of conventional traffic data collection methods, such as occlusions. This approach not only allows for the precise extraction of each road user’s trajectory and type but also ensures very high positional accuracy, thanks to sophisticated computer vision algorithms. Its innovative data collection technique minimizes errors and maximizes the quality and reliability of the dataset, making it a valuable resource for advanced research and development in the field of automated driving technologies.","description_withheld":null,"homepage":"https://levelxdata.com/exid-dataset/","introduced_date":"2022-06-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-exid-dataset-a-real-world-trajectory","title":"The exiD Dataset: A Real-World Trajectory Dataset of Highly Interactive Highway Scenarios in Germany","first_author":"Tobias Moers","url":null},"license":{"name":"Non-Commercial","url":"https://levelxdata.com/exid-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":["exiD Dataset"],"data_loaders":[{"repo":"https://github.com/woodoxen/tactics2d","url":"https://tactics2d.readthedocs.io/en/latest/","frameworks":[]}],"num_papers_in_archive":6,"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."}