{"url":"/dataset/s3e","name":"S3E","full_name":null,"description_markdown":"**S3E** is a novel large-scale multimodal dataset captured by a fleet of unmanned ground vehicles along four designed collaborative trajectory paradigms. S3E consists of 7 outdoor and 5 indoor scenes that each exceed 200 seconds, consisting of well synchronized and calibrated high-quality stereo camera, LiDAR, and high-frequency IMU data.\r\n\r\nSource: [S3E: A Large-scale Multimodal Dataset for Collaborative SLAM](https://arxiv.org/pdf/2210.13723v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.13723v1.pdf](https://arxiv.org/pdf/2210.13723v1.pdf)","description_withheld":null,"homepage":"https://github.com/PengYu-Team/S3E","introduced_date":"2022-10-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/s3e-a-large-scale-multimodal-dataset-for","title":"S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM","first_author":"Dapeng Feng","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/PengYu-Team/S3E/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Simultaneous Localization and Mapping","url":"/task/simultaneous-localization-and-mapping","datasets_with_task":"/datasets/task/simultaneous-localization-and-mapping"}],"languages":[],"variants":["S3E"],"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."}