Point Cloud Dataset of Reinforced Concrete Bridges Captured with Matterport Pro3 Scanner in Japan

This dataset contains high-resolution point cloud data of nine reinforced concrete bridges located in rural areas of Japan, collected in December 2023 using the Matterport Pro3 terrestrial laser scanner. The scanner features a 360° horizontal field of view (FOV) and a 295° vertical FOV, operating with a 904nm wavelength laser beam. It achieves a measurement accuracy of ±20 mm at a distance of 10 m and captures up to 100,000 points per second.<br>Key characteristics of the dataset:Data Format: LASCoordinate System: Local, without georeferencingResolution: Coordinate scale value of 1 mm<br>This dataset was created to support research on automated dimension estimation of bridge components using semantic segmentation and geometric analysis. It can be utilized by researchers and practitioners in structural engineering, computer vision, and infrastructure management for tasks such as semantic segmentation, structural analysis, and digital twin development.

本数据集包含2023年12月采用Matterport Pro3地面激光扫描仪采集的9座位于日本农村地区的钢筋混凝土桥梁高分辨率点云数据。该扫描仪具备360°水平视场角（FOV）与295°垂直视场角，搭载904nm波长激光束开展工作，在10米距离下的测量精度可达±20毫米，每秒可捕获多达100000个点云。
数据集关键特征如下：数据格式：LAS；坐标系：局部坐标系，未进行地理配准；分辨率：坐标比例尺为1毫米。
本数据集旨在为基于语义分割与几何分析的桥梁构件自动化尺寸估算研究提供支撑。结构工程、计算机视觉及基础设施管理领域的研究人员与从业者可利用该数据集开展语义分割、结构分析以及数字孪生开发等相关任务。

搜集汇总

背景与挑战

背景概述

该数据集包含9个日本农村地区钢筋混凝土桥梁的高分辨率点云数据，采用Matterport Pro3激光扫描仪采集，数据格式为LAS，分辨率为1毫米，适用于桥梁构件自动尺寸估计和结构分析等研究。