mramezani64/CS-Wild-Places

CS-Wild-Places是一个大规模3D数据集，专门用于地面和空中视角的激光雷达位置识别。该数据集包含来自四个密集森林的空中和地面激光雷达扫描的点云数据，具有代表性的间隙和独特的属性，如不同的点密度和噪声模式，这使得它成为野外跨视角定位的一个具有挑战性的基准。数据集是基于Wild-Places数据集构建的，需要下载Wild-Places数据集以进行后处理。数据集的使用和安装说明在README中有详细描述，包括数据下载链接和数据处理脚本的使用方法。

CS-Wild-Places is a large-scale 3D dataset for lidar place recognition across ground and aerial views. The dataset features point cloud data from aerial and ground lidar scans captured in four dense forests. Point clouds in CS-Wild-Places contain representational gaps and distinctive attributes such as varying point densities and noise patterns, making it a challenging benchmark for cross-view localisation in the wild. The dataset is built upon the ground traversals introduced by Wild-Places, so it is required to download the Wild-Places dataset alongside our data for post-processing. Detailed usage and installation instructions are provided in the README, including data download links and the use of data processing scripts.