{"title":"Flight path planning of UAV-driven refinement inspection for construction sites based on 3D reconstruction","authors":"Xin Liu , Wen Yi , Penglu Chen , Yi Tan","doi":"10.1016/j.autcon.2025.106360","DOIUrl":null,"url":null,"abstract":"<div><div>Construction site inspection usually requires high labor demands and remains inefficiency. Current UAV-based inspection mainly relies on manual operation with challenging low-altitude path in complex site environment. This paper proposes an automatic inspection flight path planning method based on BIM, UAVs, and 3D reconstruction for autonomous site inspection. First, the UAV performs rough flights to reconstruct a 3D model of the construction site, which, combined with BIM, enables environmental perception. Then, waypoint spaces are generated by mesh expansion, and an improved artificial potential field method combined with a greedy algorithm determines inspection waypoints and headings. Next, A* and simulated annealing algorithms are used to compute a globally optimal path. Finally, local coordinates are converted to real-world coordinates to generate UAV flight files and complete the autonomous inspection task. Experiments demonstrate enhanced safety and efficiency, with a 20.3 % improvement in inspection speed and reduced battery usage from 1.51 to 1.32 units.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"177 ","pages":"Article 106360"},"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/S0926580525004005","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
Construction site inspection usually requires high labor demands and remains inefficiency. Current UAV-based inspection mainly relies on manual operation with challenging low-altitude path in complex site environment. This paper proposes an automatic inspection flight path planning method based on BIM, UAVs, and 3D reconstruction for autonomous site inspection. First, the UAV performs rough flights to reconstruct a 3D model of the construction site, which, combined with BIM, enables environmental perception. Then, waypoint spaces are generated by mesh expansion, and an improved artificial potential field method combined with a greedy algorithm determines inspection waypoints and headings. Next, A* and simulated annealing algorithms are used to compute a globally optimal path. Finally, local coordinates are converted to real-world coordinates to generate UAV flight files and complete the autonomous inspection task. Experiments demonstrate enhanced safety and efficiency, with a 20.3 % improvement in inspection speed and reduced battery usage from 1.51 to 1.32 units.
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.