论文标题
虚拟Kitti 2
Virtual KITTI 2
论文作者
论文摘要
本文介绍了著名的虚拟Kitti数据集的更新版本，该版本由Kitti Tracking基准测试的5个序列克隆组成。此外，数据集提供了这些序列的不同变体，例如修改的天气条件（例如雾，雨）或改良的摄像头配置（例如，旋转15度）。对于每个序列，我们提供包含RGB，深度，类分割，实例分割，流和场景流数据的多组图像。相机参数和姿势以及车辆位置也可用。为了展示一些数据集的功能，我们使用自动驾驶领域的最新算法进行了多个相关实验。该数据集可在https://europe.naverlabs.com/research/computer-vision/proxy-virtual-worlds上下载。
This paper introduces an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark. In addition, the dataset provides different variants of these sequences such as modified weather conditions (e.g. fog, rain) or modified camera configurations (e.g. rotated by 15 degrees). For each sequence, we provide multiple sets of images containing RGB, depth, class segmentation, instance segmentation, flow, and scene flow data. Camera parameters and poses as well as vehicle locations are available as well. In order to showcase some of the dataset's capabilities, we ran multiple relevant experiments using state-of-the-art algorithms from the field of autonomous driving. The dataset is available for download at https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds.
