{"title":"3D measurement of dynamic structures using monocular camera","authors":"Ken Kobayashi, Takashi Fuse","doi":"10.1016/j.autcon.2025.106240","DOIUrl":null,"url":null,"abstract":"<div><div>Visual simultaneous localization and mapping technology assumes that the surrounding objects are stationary, making it inapplicable to dynamic objects. In environments with dynamic objects, accurately estimating their shape and displacement remains challenging. This paper develops a method for estimating the 3D shapes and displacements of dynamic objects using a monocular camera and demonstrates its effectiveness. The proposed technique uses semi-supervised video segmentation to separate dynamic objects of interest from others, extract and track features only for the object, and perform 3D reconstruction. Reconstructing these 3D point clouds in the camera space makes it possible to measure the 3D shape and displacement of a dynamic object. The method was validated on a video of a rotating fan blade, and the average relative absolute error of the position estimation was 0.0011, indicating sufficiently high accuracy. Hence, this approach highlights the possibility of accurately reconstructing dynamic environments using a monocular camera for infrastructure monitoring.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106240"},"PeriodicalIF":9.6000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525002808","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Visual simultaneous localization and mapping technology assumes that the surrounding objects are stationary, making it inapplicable to dynamic objects. In environments with dynamic objects, accurately estimating their shape and displacement remains challenging. This paper develops a method for estimating the 3D shapes and displacements of dynamic objects using a monocular camera and demonstrates its effectiveness. The proposed technique uses semi-supervised video segmentation to separate dynamic objects of interest from others, extract and track features only for the object, and perform 3D reconstruction. Reconstructing these 3D point clouds in the camera space makes it possible to measure the 3D shape and displacement of a dynamic object. The method was validated on a video of a rotating fan blade, and the average relative absolute error of the position estimation was 0.0011, indicating sufficiently high accuracy. Hence, this approach highlights the possibility of accurately reconstructing dynamic environments using a monocular camera for infrastructure monitoring.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.