Railway360

We dedicatedly construct a railway point cloud dataset, Railway360, which is collected from a main railway line in China, covering 4.1 kilometers and approximately 800 million points divided into 10 categories. Thanks to the usage of a single-line high-frequency LiDAR and the specific vertical scanning pattern, Railway360 provides not only the position coordinates, intensities, and category labels, but also the timestamps of the point cloud collection. This allows us to obtain a continuously complete and uniformly sampled point cloud dataset, enabling more accurate temporal analysis of the scene, which can largely benefit subsequent tasks such as scene segmentation and track equipment measurement.

我们精心构建了铁路点云数据集Railway360，该数据集采集自中国一条干线铁路，覆盖里程达4.1公里，包含约8亿个点云数据，共分为10个类别。得益于采用单线高频激光雷达（LiDAR）与专属垂直扫描模式，Railway360不仅提供点云的位置坐标、强度信息与类别标签，还包含点云采集的时间戳。这使得本数据集可获得连续完整且采样均匀的点云数据，支持对场景进行更精准的时序分析，可大幅助力场景分割、轨道设备测量等后续任务。

搜集汇总

背景与挑战

背景概述

Railway360是一个覆盖4.1公里中国主要铁路线的点云数据集，包含约8亿个点，分为10个类别。数据集通过单线高频LiDAR采集，提供位置坐标、强度、类别标签和时间戳，支持连续完整的点云分析和后续任务如场景分割和轨道设备测量。