{"url":"/dataset/euro-pvi","name":"Euro-PVI","full_name":null,"description_markdown":"The Euro-PVI dataset contains trajectories of pedestrians and bicyclists, with dense interactions with the ego-vehicle. The dataset is collected in Brussels and Leuven, Belgium. The goal of this dataset is to address the challenge of future trajectory prediction in urban environments with dense pedestrian (bicyclist) - vehicle interactions.","description_withheld":null,"homepage":"https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/euro-pvi-dataset","introduced_date":"2021-06-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/euro-pvi-pedestrian-vehicle-interactions-in","title":"Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers","first_author":"Apratim Bhattacharyya","url":null},"license":null,"modalities":[],"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":"Pedestrian Trajectory Prediction","url":"/task/pedestrian-trajectory-prediction","datasets_with_task":"/datasets/task/pedestrian-trajectory-prediction"}],"languages":[],"variants":["Euro-PVI"],"data_loaders":[{"repo":"https://github.com/apratimbhattacharyya18/jbcvae","url":"https://github.com/apratimbhattacharyya18/jbcvae","frameworks":["pytorch"]}],"num_papers_in_archive":1,"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."}