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Video to BrIM: Automated 3D As-Built Documentation of Bridges

机译:视频到边缘:自动化3D的桥梁文档

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摘要

Labeling and mapping existing infrastructure is one of the grand challenges for civil engineers in the 21st century. The challenge remains in finding an appropriate data collection method that rapidly collects structural and geometrical information of bridges and automatically converts it into three-dimensional (3D) models. Over the last decade, there has been a tremendous effort to develop prototypes for capturing the as-is condition of a bridge and converting it into 3D bridge-information models (BrIMs). Bridge-information models are 3D-information-rich data models that can be used in various phases of bridge design, construction, operations, and maintenance. As an alternative solution, researchers are now studying the processing of videos to capture the required 3D information (videogrammetry) and using algorithms to automatically extract 3D objects and convert the results into a BrIM. This study evaluates the applicability of a novel videogrammetric pipeline for automatically documenting the physical condition of bridges. It also describes the results of three case studies of highway bridge assessment and modeling in which 3D information is extracted from two-dimensional video frames and point cloud data (PCD) are generated. As the next step, the PCD can be converted into a data-rich BrIM object for further processing. (C) 2018 American Society of Civil Engineers.
机译:标签和映射现有基础设施是21世纪土木工程师的大挑战之一。挑战仍然在找到一个适当的数据收集方法,该方法迅速收集桥梁的结构和几何信息,并自动将其转换为三维(3D)模型。在过去十年中,巨大努力开发用于捕获桥梁的原型并将其转换为3D桥信息模型(Brims)。 Bridge-Information模型是3D信息丰富的数据模型,可用于桥梁设计,施工,操作和维护的各个阶段。作为替代解决方案,研究人员正在研究视频的处理以捕获所需的3D信息(视频测量)并使用算法自动提取3D对象并将结果转换为边缘。本研究评估了一种新型视频测量管道的适用性自动记录桥梁的物理状况。它还介绍了对公路桥梁评估和建模的三种情况研究的结果,其中产生了从二维视频帧中提取的3D信息和点云数据(PCD)。作为下一步,PCD可以转换为富含数据的边缘物体以进行进一步处理。 (c)2018年美国土木工程师协会。

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