{"url":"/dataset/nerf-mvl","name":"NeRF-MVL","full_name":"object-centric multi-view LiDAR dataset","description_markdown":"We establish an object-centric **m**ulti-**v**iew **L**iDAR dataset, which we\r\ndub the **NeRF-MVL** dataset, containing carefully calibrated sensor poses,\r\nacquired from multi-LiDAR sensor data from real autonomous vehicles. It contains\r\nmore than **76k frames** covering two types of collecting vehicles, three LiDAR\r\nsettings, two collecting paths, and nine object categories.","description_withheld":null,"homepage":"https://github.com/tangtaogo/lidar-nerf/tree/main/lidarmvl","introduced_date":"2023-04-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/lidar-nerf-novel-lidar-view-synthesis-via","title":"LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields","first_author":"Tang Tao","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["NeRF-MVL"],"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."}