{"url":"/dataset/near-collision","name":"Near-Collision","full_name":null,"description_markdown":"**Near-Collision** is a large-scale dataset of 13,658 egocentric\r\nvideo snippets of humans navigating in indoor hallways. In\r\norder to obtain ground truth annotations of human pose, the\r\nvideos are provided with the corresponding 3D point cloud\r\nfrom LIDAR.","description_withheld":null,"homepage":"https://aashi7.github.io/NearCollision.html","introduced_date":"2019-03-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/future-near-collision-prediction-from","title":"Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[],"languages":[],"variants":["Near-Collision"],"data_loaders":[],"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."}