Digitization is an important part of efficient infrastructure maintenance. Means to achieve a digital asset database include precise 3D surveys of the physical assets and advanced automated recognition of objects of interest for documenting, maintenance and further analysis purposes. To this end, fast data collection of railway infrastructure environments can be obtained using a mobile laser scanner mounted on a service locomotive, permitting uninterruptive service. This paper presents an algorithm that extracts the railtop centerlines of up to seven parallel tracks with a single measurement pass and achieves an accuracy of 0.3cm to 0.8cm on non-intersecting rails, which improves the state of the art by 55%–85%. On intersecting rails, the railtop location accuracy is comparable to that of existing methods. The proposed method uses only geometric data and performs in real time in two-track railroad configurations.

中文翻译：

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从移动激光扫描数据中全自动提取轨顶中心线


数字化是高效基础设施维护的重要组成部分。实现数字资产数据库的方法包括对实物资产进行精确的 3D 调查，以及对感兴趣对象进行高级自动识别，以用于记录、维护和进一步分析目的。为此，可以使用安装在服务机车上的移动激光扫描仪快速收集铁路基础设施环境的数据，从而实现不间断的服务。本文提出了一种算法，该算法通过一次测量即可提取多达七条平行轨道的轨顶中心线，并在非相交钢轨上实现 0.3 厘米至 0.8 厘米的精度，将技术水平提高了 55%-85%。在相交轨道上，轨顶定位精度与现有方法相当。所提出的方法仅使用几何数据，并在双轨铁路配置中实时执行。