{"url":"/dataset/hev-i","name":"HEV-I","full_name":"Honda Egocentric View-Intersection Dataset","description_markdown":"Honda Egocentric View-Intersection Dataset (HEV-I) is introduced to enable research on traffic participants interaction modelling, future object localization, as well as learning driver action in challenging driving scenarios. The dataset includes 230 video clips of real human driving in different intersections from the San Francisco Bay Area, collected using an instrumented vehicle equipped with different sensors including cameras, GPS/IMU, and vehicle states signals.","description_withheld":null,"homepage":"https://usa.honda-ri.com/hevi","introduced_date":"2018-09-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/egocentric-vision-based-future-vehicle","title":"Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems","first_author":"Yu Yao","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Trajectory Prediction","url":"/task/trajectory-prediction","datasets_with_task":"/datasets/task/trajectory-prediction"}],"languages":[],"variants":["HEV-I"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/trajectory-prediction-on-hev-i","task":"Trajectory Prediction","dataset_variant":"HEV-I","rows":2,"metrics":["ADE(0.5)","ADE(1.0)","ADE(1.5)","FDE(1.5)","FIOU(1.5)"],"first_row_in_archive_order":{"model":"SGNet","paper":"/paper/stepwise-goal-driven-networks-for-trajectory","metrics":{"ADE(0.5)":"6.28","ADE(1.0)":"11.35","ADE(1.5)":"18.27","FDE(1.5)":"39.86","FIOU(1.5)":"0.63"},"code_links":[{"title":"ChuhuaW/SGNet.pytorch","url":"https://github.com/ChuhuaW/SGNet.pytorch"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/stepwise-goal-driven-networks-for-trajectory","title":"Stepwise Goal-Driven Networks for Trajectory Prediction","date":"2021-03-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unsupervised-traffic-accident-detection-in","title":"Unsupervised Traffic Accident Detection in First-Person Videos","date":"2019-03-02","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":0,"samples_unverified":5,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}