{"url":"/dataset/incrowd-vi","name":"InCrowd-VI","full_name":null,"description_markdown":"## About \r\nA realistic visual-inertial dataset with 58 sequences spanning 5km of trajectories and 1.5 hours of recordings, designed for evaluating SLAM systems in indoor pedestrian-rich environments. The dataset is particularly aimed at advancing navigation technologies for visually impaired individuals.","description_withheld":null,"homepage":"","introduced_date":"2024-11-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/incrowd-vi-a-realistic-visual-inertial","title":"InCrowd-VI: A Realistic Visual-Inertial Dataset for Evaluating SLAM in Indoor Pedestrian-Rich Spaces for Human Navigation","first_author":"Marziyeh Bamdad","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["InCrowd-VI"],"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."}