UAV-assisted bridge alignment measurement using enhanced small target detection and adaptive ellipse fitting

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-05-12 DOI:10.1016/j.autcon.2025.106258

Lu Deng , Cheng Zhang , Weiqi Mao , Feng Zhang , Lizhi Long , Hao Dai , Jingjing Guo

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引用次数: 0

Abstract

Prefabricated bridges are preferred in modern construction for their rapid assembly, cost-efficiency, and minimal environmental impact. However, traditional alignment methods, such as total stations and levels, are time-consuming and labor-intensive. This paper proposes a UAV-based alignment measurement system using artificial markers for vertical alignment in prefabricated bridges. The key contributions include: (1) a high-precision UAV system framework based on overlapping marker centers and point lattice stitching; (2) a YOLOv8-based detection network, YOLO-USMD, for precise marker identification in aerial images; and (3) a Dynamic Adaptive Multi-Scale Ellipse Detection (DAMSED) algorithm to improve marker detection in complex images. Field experiments on a prefabricated steel-concrete bridge demonstrated that the proposed method achieved a root mean square error (RMSE) of 2.84 mm for a 30 m range, proving its effectiveness for accurate and efficient alignment assessment in bridge construction.

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基于增强小目标检测和自适应椭圆拟合的无人机辅助桥梁对准测量

预制桥梁因其快速组装、成本效益和对环境影响最小而成为现代建筑的首选。然而，传统的校准方法，如全站仪和水平仪，既耗时又费力。本文提出了一种基于无人机的预制桥梁垂直定位测量系统。主要贡献包括：(1)基于重叠标记中心和点格拼接的高精度无人机系统框架；(2)基于yolov8的检测网络YOLO-USMD，用于航拍图像中精确的标记物识别；(3)动态自适应多尺度椭圆检测（DAMSED）算法，改进复杂图像中的标记检测。现场试验表明，该方法在30 m范围内的均方根误差（RMSE）为2.84 mm，证明了该方法在桥梁施工中准确、高效地进行线形评估的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

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.