Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network-Reference-Cited by-同舟云学术

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Crack Detection and Classification in Asphalt Pavement Images using Deep Convolution Neural Network

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Yusof N. A. M.,Osman M. K.,Noor M. H. M.,Ibrahim A.,Tahir N. M.,Yusof N. M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8681386/8684956/08685007.pdf?arnumber=8685007

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Deep Learning Pavement Extraction and Crack Segmentation Algorithms to Analyze UAV Images of Roadways;Journal of Infrastructure Systems;2024-09

2. RCD-IIUM: A Comprehensive Malaysian Road Crack Dataset for Infrastructure Analysis;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

3. SS-GAN based road surface crack region segmentation and forecasting;Engineering Applications of Artificial Intelligence;2024-07

4. Measurement of Asphalt Pavement Crack Length Using YOLO V5-BiFPN;Journal of Infrastructure Systems;2024-06

5. Image Recognition of Pavement Cracks in Autonomous Driving Scenarios Based on Deep Learning;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

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