Remote measurement of reinforcing bar spacing and length from an oblique photograph using a novel perspective correction technique

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jun Su Park, Jae Young Kang, Hyo Seon Park
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引用次数: 0

Abstract

The dimensional inspection of reinforcing bars at construction sites prior to concrete pouring is essential to ensure structural integrity. However, this process has traditionally relied on manual tape measurements, which are labor‐intensive, unsafe, and prone to human error. To address these limitations, this study introduces a novel method for remotely inspecting the spacings and lengths of reinforcing bars using a single oblique photograph and a new perspective correction technique. This method transforms oblique images into vertical images using constraints based on four specific vectors that must be perpendicular to one another, thereby eliminating the need for the four‐point correspondence required by existing methods. This improvement enhances the practicality of the proposed method. A validation experiment conducted at an apartment construction site yielded a mean absolute error of 5.12 mm in measuring the spacing and length of reinforcing bars, demonstrating field‐level accuracy in compliance with American Concrete Institute 117 and the Gagemaker's Rule from US military standard 120.
利用一种新颖的视角校正技术,从斜向照片中远程测量钢筋间距和长度
混凝土浇筑前施工现场钢筋尺寸检验是保证结构完整性的必要条件。然而,这一过程传统上依赖于人工卷尺测量,这是劳动密集型的,不安全的,并且容易出现人为错误。为了解决这些限制,本研究介绍了一种利用单张倾斜照片和一种新的视角校正技术远程检测钢筋间距和长度的新方法。该方法使用基于四个特定向量的约束将倾斜图像转换为垂直图像,这些向量必须彼此垂直,从而消除了现有方法所需的四点对应。这一改进增强了所提方法的实用性。在一个公寓建筑工地进行的验证实验中,测量钢筋间距和长度的平均绝对误差为5.12毫米,表明现场精度符合美国混凝土协会117和美国军事标准120中的盖梅克规则。
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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