| 利用高精度三维测量技术进行路面破损检测 |
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| 引用本文： | 李清泉,邹勤,张德津.利用高精度三维测量技术进行路面破损检测[J].武汉大学学报(信息科学版),2017,42(11):1549-1564. |
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| 作者姓名： | 李清泉 邹勤 张德津 |
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| 作者单位： | 1.深圳大学空间信息智能感知与服务实验室, 广东 深圳, 518060 |
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| 基金项目： | 国家自然科学基金41371377国家自然科学基金61301277深圳市未来产业发展专项资金201507211219247860 |
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| 摘 要： | 随着中国高速公路发展从大规模建设阶段向大规模养护阶段的转变，高效和自动化的路面破损检测技术具有越来越重要的研究意义和应用价值。公路路面破损检测主要利用光学传感器如相机、激光扫描仪等采集路表面数据，并利用模式识别、机器学习等技术方法自动定位路面破损位置、判别损坏类别。简要回顾了过去二十年路面破损检测的研究，并详细介绍了利用激光三维断面扫描进行路面破损检测的新方法。通过室内对比实验和公路实测实践的评估发现，利用三维断面扫描的路面破损检测技术相对于传统的基于可见光成像的技术具有更强的环境适应性和更高的识别精度。
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| 关 键 词： | 三维测量 断面扫描 路面检测 损坏识别 |
| 收稿时间： | 2017-09-01 |
Road Pavement Defect Detection Using High Precision 3D Surveying Technology |
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| Institution: | 1.Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China2.School of Computer Science, Wuhan University, Wuhan 430072, China3.School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China |
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| Abstract: | Efficient and automatic road pavement defect detection technology has become increasingly important given the transition of China's highway development from the large-scale construction stage to the large-scale conservation stage. We briefly review the study of road surface defect detection over the past two decades, and present a new method for road surface defect detection using 3D laser profiling techniques. Road surface defect detection involves the use of optical sensors such as CCD cameras and laser scanners to collect the information of road surface, and pattern recognition and machine learning algorithms to automatically locate the defects and identify the categories of defects. Comparative experiments in the laboratory and test practices on the real roads show that the road surface defect detection technology using 3D laser profiling has stronger environmental adaptability and higher recognition precision than the traditional technology based on 2D visible light imaging. |
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