{"url":"/dataset/carla-64","name":"CARLA-64","full_name":null,"description_markdown":"We create 64-beam LiDAR dataset with settings similar to Velodyne VLP-64 LiDAR on the CARLA simulator. It contains no moving objects during static run and several moving objects (cars, 2-wheelers, pedestrians) during dynamic runs. It consists of 16 dynamic runs and 8 static runs. This gives about 32k LiDAR scan pairs for training, validation ad tesing.","description_withheld":null,"homepage":"","introduced_date":"2021-05-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/dslr-dynamic-to-static-lidar-scan","title":"DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder","first_author":"Prashant Kumar","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CARLA-64"],"data_loaders":[],"num_papers_in_archive":4,"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."}