Cheng Zhang , Yang Zou , Feng Wang , Johannes Dimyadi
{"title":"Automated UAV image-to-BIM registration for planar and curved building façades using structure-from-motion and 3D surface unwrapping","authors":"Cheng Zhang , Yang Zou , Feng Wang , Johannes Dimyadi","doi":"10.1016/j.autcon.2025.106148","DOIUrl":null,"url":null,"abstract":"<div><div>Texturing Building Information Model (BIM) with up-to-date Unmanned Aerial Vehicle (UAV) images has brought substantial benefits to building façade inspection. However, current image-to-BIM registration methods are sensitive to UAV positioning accuracy and façade features. Additionally, perspective and geometry distortions on UAV images hinder the texturing of curved façades. To address these issues, this paper introduces an approach to registering UAV images onto BIM for buildings with both planar and curved façades. Firstly, Structure-from-Motion is used to align UAV images with BIM. Secondly, fragmented and distorted UAV images of planar and curved façades are converted onto a distortion-free panoramic image using 3D surface unwrapping. Thirdly, the generated panoramic image is projected onto BIM surfaces as textures. The process has been automated using a Dynamo prototype and evaluated through computer simulation and a real-world case study. The outcome shows a mean accuracy of 1.7 pixels and 8.5 mm.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"174 ","pages":"Article 106148"},"PeriodicalIF":9.6000,"publicationDate":"2025-03-26","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/S0926580525001888","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
Texturing Building Information Model (BIM) with up-to-date Unmanned Aerial Vehicle (UAV) images has brought substantial benefits to building façade inspection. However, current image-to-BIM registration methods are sensitive to UAV positioning accuracy and façade features. Additionally, perspective and geometry distortions on UAV images hinder the texturing of curved façades. To address these issues, this paper introduces an approach to registering UAV images onto BIM for buildings with both planar and curved façades. Firstly, Structure-from-Motion is used to align UAV images with BIM. Secondly, fragmented and distorted UAV images of planar and curved façades are converted onto a distortion-free panoramic image using 3D surface unwrapping. Thirdly, the generated panoramic image is projected onto BIM surfaces as textures. The process has been automated using a Dynamo prototype and evaluated through computer simulation and a real-world case study. The outcome shows a mean accuracy of 1.7 pixels and 8.5 mm.
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.