{"url":"/dataset/lipc-lidar-point-cloud-clustering-benchmark","name":"LiPC","full_name":"LiDAR Point Cloud Clustering Benchmark Suite","description_markdown":"**LiPC (LiDAR Point Cloud Clustering Benchmark Suite)** is a benchmark suite for point cloud clustering algorithms based on open-source software and open datasets. It aims to provide the community with a collection of methods and datasets that are easy to use, comparable, and that experimental results are traceable and reproducible.\r\n\r\nSource: [https://github.com/cavayangtao/lidar_clustering_bench](https://github.com/cavayangtao/lidar_clustering_bench)\r\n\r\nImage Source: [https://github.com/cavayangtao/lidar_clustering_bench](https://github.com/cavayangtao/lidar_clustering_bench)","description_withheld":null,"homepage":"https://github.com/cavayangtao/lidar_clustering_bench","introduced_date":"2022-02-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/3d-tof-lidar-in-mobile-robotics-a-review","title":"3D ToF LiDAR in Mobile Robotics: A Review","first_author":null,"url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[],"languages":[],"variants":["LiPC"],"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."}