{"url":"/dataset/baseprod","name":"BASEPROD","full_name":"The Bardenas Semi-Desert Planetary Rover Dataset","description_markdown":"BASEPROD provides comprehensive rover sensor data collected over a 1.7 km traverse, accompanied by high-resolution 2D and 3D drone maps of the terrain. The dataset also includes laser-induced breakdown spectroscopy (LIBS) measurements from key sampling sites along the rover's path, as well as weather station data to contextualize environmental conditions.\r\n\r\nThe rover is a half-scale model of the ExoMars rover, featuring a sophisticated six-wheel triple-bogie suspension system. Each wheel assembly includes three actuators— one for wheel deployment (see e.g., wheel-walking), one for steering, and one for driving — and is equipped with a force-torque sensor. The sensor suite also comprises an RGB-D camera, a thermal camera, and a stereo camera mounted on a mast with pan-tilt capability. Additionally, the dataset contains IMU, GNSS, and gyroscope measurements, facilitating comprehensive analysis.\r\n\r\nPotential Applications: Research in navigation, localization, mapping, odometry, and terrain classification or segmentation tasks. It provides a rich resource for developing and testing algorithms in planetary exploration conditions.","description_withheld":null,"homepage":"https://doi.org/10.57780/esa-xxd1ysw","introduced_date":"2024-09-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/baseprod-the-bardenas-semi-desert-planetary","title":"BASEPROD: The Bardenas Semi-Desert Planetary Rover Dataset","first_author":"Levin Gerdes","url":null},"license":{"name":"Creative Commons Attribution 4.0 International License","url":"http://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"},{"name":"Stereo","url":"/datasets/modality/stereo"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Visual Odometry","url":"/task/visual-odometry","datasets_with_task":"/datasets/task/visual-odometry"},{"name":"Visual Navigation","url":"/task/visual-navigation","datasets_with_task":"/datasets/task/visual-navigation"},{"name":"Robot Navigation","url":"/task/robot-navigation","datasets_with_task":"/datasets/task/robot-navigation"},{"name":"Simultaneous Localization and Mapping","url":"/task/simultaneous-localization-and-mapping","datasets_with_task":"/datasets/task/simultaneous-localization-and-mapping"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["BASEPROD"],"data_loaders":[],"num_papers_in_archive":2,"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."}