Perez Husein, Tah Joseph H M
Oxford Institute for Sustainable Development, School of the Built Environment, Oxford Brookes University, Oxford OX3 0BP, UK.
Sensors (Basel). 2023 Aug 11;23(16):7110. doi: 10.3390/s23167110.
Regular inspections during construction work ensure that the completed work aligns with the plans and specifications and that it is within the planned time and budget. This requires frequent physical site observations to independently measure and verify the completion percentage of the construction progress performed over periods of time. The current computer vision techniques for measuring as-built elements predominantly employ three-dimensional laser scanning or three-dimensional photogrammetry modeling to ascertain the geometric properties of as-built elements on construction sites. Both techniques require data acquisition from several positions and angles to generate sufficient information about the element's coordinates, making the deployment of these techniques on dynamic construction project sites challenging. This paper proposes a pipeline for automating the measurement of as-built components using artificial intelligence and computer vision techniques. The pipeline requires a single image obtained with a stereo camera system to measure the sizes of selected objects or as-built components. The results in this work were demonstrated by measuring the sizes of concrete walls and columns. The novelty of this work is attributed to the use of a single image and a single target for developing a fully automated computer vision-based method for measuring any given object. The proposed solution is suitable for use in measuring the sizes of as-built components in built assets. It has the potential to be further developed and integrated with building information modelling applications for use on construction projects for progress monitoring.
施工期间的定期检查可确保已完成的工程符合计划和规范，且在计划的时间和预算范围内。这需要经常进行实地观察，以独立测量和核实一段时间内已完成的施工进度百分比。当前用于测量已建成构件的计算机视觉技术主要采用三维激光扫描或三维摄影测量建模，以确定建筑工地上已建成构件的几何特性。这两种技术都需要从多个位置和角度采集数据，以生成有关构件坐标的足够信息，这使得在动态建设项目现场部署这些技术具有挑战性。本文提出了一种使用人工智能和计算机视觉技术自动测量已建成构件的流程。该流程只需用立体相机系统获取的单张图像，就能测量选定物体或已建成构件的尺寸。这项工作通过测量混凝土墙和柱的尺寸来展示结果。这项工作的新颖之处在于使用单张图像和单个目标来开发一种基于计算机视觉的全自动方法，用于测量任何给定物体。所提出的解决方案适用于测量已建成资产中已建成构件的尺寸。它有进一步开发并与建筑信息模型应用集成的潜力，以便在建设项目中用于进度监测。
