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
福特校园视觉与激光雷达数据集系由一自主地面车辆测试平台收集而成，该平台基于改装的福特F-250皮卡。该车辆配备有专业的（Applanix POS LV）及消费级（Xsens MTI-G）惯性测量单元（IMU）、Velodyne 3D激光雷达扫描仪、两部推扫式前向Riegl激光雷达及Point Grey Ladybug3全方位相机系统。本数据集包含安装于车辆上的这些传感器在车辆行驶于福特研究园区及密歇根州迪尔伯恩市区时的时间注册数据，收集时间为2009年11月至12月。这些数据集中车辆路径轨迹包含多个大范围及小范围闭合环路，对于测试各类前沿计算机视觉与SLAM（同步定位与建图）算法应极为有益。论文题目：福特校园视觉与激光雷达数据集
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