{"url":"/dataset/in2laama","name":"IN2LAAMA","full_name":null,"description_markdown":"IN2LAAMA is a set of lidar-inertial datasets collected with a Velodyne VLP-16 lidar and a Xsens MTi-3 IMU.\r\n\r\nSource: IN2LAAMA: INertial Lidar Localisation Autocalibration And MApping","description_withheld":null,"homepage":"https://github.com/UTS-CAS/in2laama_datasets","introduced_date":"2020-04-06","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Autonomous Vehicles","url":"/task/autonomous-vehicles","datasets_with_task":"/datasets/task/autonomous-vehicles"},{"name":"Simultaneous Localization and Mapping","url":"/task/simultaneous-localization-and-mapping","datasets_with_task":"/datasets/task/simultaneous-localization-and-mapping"},{"name":"Autonomous Navigation","url":"/task/autonomous-navigation","datasets_with_task":"/datasets/task/autonomous-navigation"}],"languages":[],"variants":["IN2LAAMA"],"data_loaders":[{"repo":"https://github.com/UTS-CAS/in2laama_datasets","url":"https://github.com/UTS-CAS/in2laama_datasets","frameworks":[]}],"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."}