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Pavement Cracks Coupled With Shadows:A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach

Lili Fan Shen Li Ying Li Bai Li Dongpu Cao Fei-Yue Wang

自动化学报(英文版)2023,Vol.10Issue(7):1593-1607,15.
自动化学报(英文版)2023,Vol.10Issue(7):1593-1607,15.DOI:10.1109/JAS.2023.123447

Pavement Cracks Coupled With Shadows:A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach

Pavement Cracks Coupled With Shadows:A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach

Lili Fan 1Shen Li 2Ying Li 3Bai Li 4Dongpu Cao 5Fei-Yue Wang6

作者信息

  • 1. School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China
  • 2. School of Civil Engineering,Tsinghua University,Beijing 100084,China
  • 3. School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
  • 4. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body and the College of Mechanical and Vehicle Engineering,Hunan University,Changsha 410082,China
  • 5. School of Vehicle and Mobility,Tsinghua University,Beijing 100084,China
  • 6. State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
  • 折叠

摘要

关键词

Automatic pavement crack detection/data augmen-tation compensation/deep learning/residual feature augmentation/shadow removal/shadow-crack dataset

Key words

Automatic pavement crack detection/data augmen-tation compensation/deep learning/residual feature augmentation/shadow removal/shadow-crack dataset

引用本文复制引用

Lili Fan,Shen Li,Ying Li,Bai Li,Dongpu Cao,Fei-Yue Wang..Pavement Cracks Coupled With Shadows:A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach[J].自动化学报(英文版),2023,10(7):1593-1607,15.

基金项目

This work was supported in part by the 14th Five-Year Project of Ministry of Science and Technology of China(2021YFD2000304),Fundamental Research Funds for the Central Universities(531118010509),and Natural Science Foundation of Hunan Province,China(2021JJ40114). (2021YFD2000304)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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