Ford Campus Vision and Lidar Data Set Dataset

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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.

This 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.

Paper: [Ford Campus vision and lidar data set](https://doi.org/10.1177%2F0278364911400640)

Source: [Ford Campus vision and lidar data set](http://robots.engin.umich.edu/SoftwareData/Ford)

Image Source: [Ford Campus vision and lidar data set](https://doi.org/10.1177%2F0278364911400640)

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