计算机视觉技术在桥隧工程中的应用现状及展望

杨兴宇; 陈光耀; 朱俊潼; 徐照

doi:10.3724/j.gyjzG23051209

计算机视觉技术在桥隧工程中的应用现状及展望

doi: 10.3724/j.gyjzG23051209

1. 东南大学土木工程学院, 南京 211189;
2. 东南大学软件学院, 江苏苏州 215000

基金项目:

国家自然科学基金项目(72071043)

江苏省科技计划专项资金(重点研发计划社会发展)项目(BE2022820)。

详细信息

作者简介:
杨兴宇,硕士研究生,主要从事智慧建造与管理方面的研究。

通讯作者:
徐照,教授,主要从事智慧建造与管理方面的研究,xuzhao@seu.edu.cn。

计量
- 文章访问数: 10
- HTML全文浏览量: 1
- PDF下载量: 0
- 被引次数: 0
出版历程
- 收稿日期: 2023-05-12
- 网络出版日期: 2024-10-18

Application Status and Prospect on Computer Vision Technology Application in Bridge and Tunnel Engineering

1. School of Civil Engineering, Southeast University, Nanjing 211189, China;
2. Department of Software, Southeast University, Suzhou 215000, China

摘要

摘要: 桥隧工程是土建领域的重要分支,随着建筑数字化程度的提高和设备硬件的升级,计算机视觉已经成为桥隧工程中数字化发展的关键支撑技术。为系统全面地揭示计算机视觉在桥隧工程领域的研究热点和趋势,聚焦于计算机视觉在桥隧工程领域的应用,利用知识图谱工具对相关文献进行可视化分析,并分别从图像处理与特征提取、目标检测与跟踪、目标分类与识别、三维重建与SLAM和智能分析与决策五个计算机视觉任务对其理论与应用技术进行系统性的总结归纳。在此基础上,还从数据集缺陷性、图像准确性、检测实时性、算法适用性四个方面出发,总结了目前研究难点,指出和探讨了应用难点解决方案,并对未来发展进行展望,为进一步研究与技术应用提供理论支撑。
- 计算机视觉 /
- 桥隧工程 /
- 工程管理 /
- 信息技术 /
- 施工技术
Abstract: Bridge and tunnel engineering is an important branch in the field of civil engineering. With the increasing digitization of construction and upgrades in hardware equipment, computer vision has become a key technology supporting the digital development of bridge and tunnel engineering. To comprehensively reveal the research hotspots and trends of computer vision in the field of bridge and tunnel engineering, the paper focused on the application of computer vision in bridge and tunnel engineering, used knowledge graph tools to conduct visualized analysis of relevant literature, and systematically summarized the theoretical and applied technologies of computer vision tasks, including image processing and feature extraction, object detection and tracking, object classification and recognition, 3D reconstruction and SLAM, and intelligent analysis and decision-making. Based on this, the paper also summarized the current research difficulties from four aspects: dataset defects, image accuracy, detection real-time performance, and algorithm applicability. The paper also identified and discussed solutions to application difficulties and provided prospects for future development, so as to provide theoretical support for further research and technological application.
- computer vision /
- bridge and tunnel construction /
- project management /
- information technology /
- construction technology

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