Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach-Reference-Cited by-同舟云学术

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

Published:2023-07 Issue:7 Volume:10 Page:1593-1607
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Fan Lili¹,Li Shen²,Li Ying³,Li Bai⁴,Cao Dongpu⁵,Wang Fei-Yue⁶

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081

2. School of Civil Engineering, Tsinghua University,Beijing,China,100084

3. School of Mechanical Engineering, Beijing Institute of Technology,Beijing,China,100081

4. College of Mechanical and Vehicle Engineering, Hunan University,State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha,China,410082

5. School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084

6. Institute of Automation, Chinese Academy of Sciences,State Key Laboratory for Management and Control of Complex Systems,Beijing,China,100190

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10153596/10153729.pdf?arnumber=10153729

Reference50 articles.

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2. Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

3. A deep neural networks approach for pixel-level runway pavement crack segmentation using drone-captured images;jiang;Proc Conf Computer Vision and Pattern Recognition Virtual,0

4. Speed and Accuracy Tradeoff for LiDAR Data Based Road Boundary Detection

5. SUPER: A Novel Lane Detection System

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