In this paper, we present a multi-camera LiDAR inertial dataset of 4.5km walking distance as an expansion to the Newer College Dataset. The global shutter multi-camera device is hardware synchronized with the IMU and the LiDAR. This dataset also provides six Degrees of Freedom (DoF) ground truth poses, at the LiDAR frequency of 10hz. Three data collections are described and example usage of multi-camera visual-inertial odometry is demonstrated. This expansion dataset contains small and narrow passages, large scale open spaces as well as vegetated areas to test localization and mapping systems. Furthermore, some sequences present challenging situations such as abrupt lighting change, textureless surfaces, and aggressive motion. The dataset is available at: https://ori-drs.github.io/newer-college-dataset
翻译:在本文中,我们展示了一个4.5公里行走距离的多镜头LIDAR惯性数据集,作为Newer College数据集的扩展。全球百叶窗多相机装置是与IMU和LIDAR同步的硬件。该数据集还提供自由地面真相在LiDAR 10hz 频率下的六度。描述了三个数据收集,并演示了多镜头视觉内皮ododology的使用情况。该扩展数据集包含狭小的通道、大面积的开放空间以及测试本地化和绘图系统的植被区域。此外,有些序列还呈现了具有挑战性的情况,如突然照明变化、无纹质表面和主动性运动。该数据集可在以下网址查阅:https://ori-drs.github.io/newer-college-dataset。