Point clouds of Tram bridge in Schipluiden, The Netherlands

Point clouds of Tram bridge on Schipluiden, Zuid-Holland was acquired for the project “Laser Scanning for Automatic Bridge Assessment” or called “BridgeScan” funded through H2020 Marie Curie IF and for a big assignment of a course “3D Surveying of Civil and Offshore Infrastructure” of a Master program at TU Delft Dept. Geoscience and Remote sensing”. The Tram bridge is a truss steel bridge, which was for a tram to transport vegetables. Now it is used for light traffic (mainly pedestrian, bike and motorbike). The data points of the bridge were acquired using Leica ScanStation P40, from 14 stations with the sampling step 6.3mm at the measure range of 10.0m. The point clouds from different scanning stations were registered using the artificial targets through Leica Cylone software. The point cloud of the bridge was used to reconstruct a 3D model and identify surface damage. The data set was cleaned irrelevant points and down-sampled with the sampling step of 5mm.

荷兰南荷兰省斯希普吕登的有轨电车桥点云数据集，其采集工作服务于两项任务：一是由欧盟地平线2020（H2020）玛丽·居里研究员奖学金（Marie Curie IF）资助的“用于桥梁自动评估的激光扫描”（又名“BridgeScan”）项目；二是代尔夫特理工大学（TU Delft）地球科学与遥感系硕士阶段课程“土木与近海基础设施三维测量”的大型课程作业。该有轨电车桥为桁架式钢桥，最初用于通行运输蔬菜的有轨电车，如今则供轻型交通使用，主要涵盖行人、自行车及摩托车。桥体点云数据采用徕卡ScanStation P40扫描仪采集，共布设14个测站，在10.0米的测量范围内采样步距为6.3毫米。不同测站采集的点云通过徕卡Cylone软件，借助人工靶标完成配准。该桥点云数据集曾被用于重建三维模型并识别表面损伤。本数据集已完成无关点剔除，并以5毫米的步距进行了下采样处理。