Jiaheng Li , Feng Han , Long Shi , Zelong Liu , Chengxiang Wang , Yikun Fan
{"title":"Rapid integration strategy for oblique photogrammetry terrain and highway BIM models in large-scale scenarios","authors":"Jiaheng Li , Feng Han , Long Shi , Zelong Liu , Chengxiang Wang , Yikun Fan","doi":"10.1016/j.autcon.2025.106354","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of Oblique Photogrammetric Digital Models (OPDMs) with Highway Building Information Modeling (HwyBIM) models to construct Three-Dimensional (3D) scenes is vital in the digital twin technology used for linear infrastructure, especially in geological hazard simulation and monitoring. However, owing to large data volumes and complex geometric features, no efficient method currently exists for rapid OPDM integration processing. This paper proposes a fast extraction method for Donflicting Tile Models (CTMs) based on the Scan Line Filling (SLF) algorithm to reduce redundant data loading during integration. An improved Surface-Volume Boolean Operation Algorithm (F-V BOA) is developed to process individual Tile Models (TMs), along with a 3D Model Boundary (3D-MB)-driven automatic TM integration plugin. The proposed approach is validated through a real-world highway case study and compared with conventional approaches, demonstrating its effectiveness and efficiency. The proposed approach can significantly contributes to OPDM integration in large-scale linear infrastructure projects. Future work will incorporate CPU/GPU parallel computing for further optimization.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"177 ","pages":"Article 106354"},"PeriodicalIF":9.6000,"publicationDate":"2025-06-23","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/S0926580525003942","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
The integration of Oblique Photogrammetric Digital Models (OPDMs) with Highway Building Information Modeling (HwyBIM) models to construct Three-Dimensional (3D) scenes is vital in the digital twin technology used for linear infrastructure, especially in geological hazard simulation and monitoring. However, owing to large data volumes and complex geometric features, no efficient method currently exists for rapid OPDM integration processing. This paper proposes a fast extraction method for Donflicting Tile Models (CTMs) based on the Scan Line Filling (SLF) algorithm to reduce redundant data loading during integration. An improved Surface-Volume Boolean Operation Algorithm (F-V BOA) is developed to process individual Tile Models (TMs), along with a 3D Model Boundary (3D-MB)-driven automatic TM integration plugin. The proposed approach is validated through a real-world highway case study and compared with conventional approaches, demonstrating its effectiveness and efficiency. The proposed approach can significantly contributes to OPDM integration in large-scale linear infrastructure projects. Future work will incorporate CPU/GPU parallel computing for further optimization.
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.