We present a multi-camera LiDAR inertial dataset of 4.5 km walking distance as an expansion of the Newer College Dataset. The global shutter multi-camera device is hardware synchronized with both the IMU and LiDAR, which is more accurate than the original dataset with software synchronization. This dataset also provides six Degrees of Freedom (DoF) ground truth poses at LiDAR frequency (10 Hz). Three data collections are described and an example use case 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:作为Newer College数据集的扩展,我们展示了4.5公里步行距离的多相机LIDAR惯性数据集。全球百叶窗多相机装置是与IMU和LIDAR同步的硬件,这比软件同步的原始数据集更准确。该数据集还提供LIDAR频率(10赫兹)所显示的六度自由(DoF)地面真相(10赫兹),描述了三个数据收集,并展示了多镜头视觉-内皮odology的例子。该扩展数据集包含小窄通道、大面积开放空间以及植被区域,以测试本地化和绘图系统。此外,一些序列还呈现出一些具有挑战性的情况,如突然照明变化、无纹质表面和攻击性运动。该数据集可在以下网址查阅:https://ori-drs.github.io/newer-callge-dataset/。