{"url":"/dataset/ford-campus-vision-and-lidar-data-set","name":"Ford Campus Vision and Lidar Data Set","full_name":null,"description_markdown":"Ford Campus Vision and Lidar Data Set is a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck. The vehicle is outfitted with a professional (Applanix POS LV) and consumer (Xsens MTI-G) Inertial Measuring Unit (IMU), a Velodyne 3D-lidar scanner, two push-broom forward looking Riegl lidars, and a Point Grey Ladybug3 omnidirectional camera system. \r\n\r\nThis dataset consists of the time-registered data from these sensors mounted on the vehicle, collected while driving the vehicle around the Ford Research campus and downtown Dearborn, Michigan during November-December 2009. The vehicle path trajectory in these datasets contain several large and small-scale loop closures, which should be useful for testing various state of the art computer vision and SLAM (Simultaneous Localization and Mapping) algorithms.\r\n\r\nPaper: [Ford Campus vision and lidar data set](https://doi.org/10.1177%2F0278364911400640)\r\n\r\nSource: [Ford Campus vision and lidar data set](http://robots.engin.umich.edu/SoftwareData/Ford)\r\n\r\nImage Source: [Ford Campus vision and lidar data set](https://doi.org/10.1177%2F0278364911400640)","description_withheld":null,"homepage":"http://robots.engin.umich.edu/SoftwareData/Ford","introduced_date":"2011-03-02","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[],"languages":[],"variants":["Ford Campus Vision and Lidar Data Set"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}