{"url":"/dataset/ntu4dradlm","name":"NTU4DRadLM","full_name":null,"description_markdown":"NTU4DRadLM is a novel 4D radar dataset specifically proposed for research on robust SLAM, based on 4D radar, thermal camera, and IMU. Totally, the dataset is around 17.6km, 85mins, 50GB.","description_withheld":null,"homepage":"https://github.com/junzhang2016/NTU4DRadLM.git","introduced_date":"2023-09-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/ntu4dradlm-4d-radar-centric-multi-modal-1","title":"NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping","first_author":"Jun Zhang","url":null},"license":{"name":"MIT","url":"https://github.com/junzhang2016/NTU4DRadLM.git"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["NTU4DRadLM"],"data_loaders":[],"num_papers_in_archive":13,"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":"2026-09-25T09:33:49+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."}