PCDNet: Seed Operation–Based Deep Learning Model for Pavement Crack Detection on 3D Asphalt Surface

IF 1.9 4区工程技术 Q3 ENGINEERING, CIVIL

Journal of Transportation Engineering Part B-Pavements Pub Date : 2022-06-01 DOI:10.1061/jpeodx.0000367

Tian Wen, H. Lang, Shuo Ding, J. Lu, Yingying Xing

引用次数: 3

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PCDNet:基于种子操作的三维沥青路面裂缝检测深度学习模型

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

Journal of Transportation Engineering Part B-Pavements Social Sciences-Transportation

CiteScore

4.50

自引率

8.70%

发文量

期刊介绍： The Journal of Transportation Engineering, Part B: Pavements will contain technical and professional articles on the planning, design, construction, maintenance, and operation of airport, roadway and other pavement systems. Specific topics include pavement design; modeling; analysis approaches, maintenance and performance; pavement evaluation, pavement materials; interaction of pavements and vehicles; and economics and environmental aspects of pavements.