RCD-IIUM: A Comprehensive Malaysian Road Crack Dataset for Infrastructure Analysis-Reference-Cited by-同舟云学术

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RCD-IIUM: A Comprehensive Malaysian Road Crack Dataset for Infrastructure Analysis

Published:2024-08-13 Issue: Volume:2 Page:200-206
ISSN:
Container-title:2024 9th International Conference on Mechatronics Engineering (ICOM)
language:
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Author:

Ashraf Arselan¹,Sophian Ali²,Akramin Shafie Amir²,Surya Gunawan Teddy¹,Ismail Norfarah Nadia³,Aryo Bawono Ali⁴

Affiliation:

1. International Islamic University Malaysia,Department of Electrical and Computer Engineering,Kuala Lumpur,Malaysia

2. International Islamic University Malaysia,Department of Mechatronics Engineering,Kuala Lumpur,Malaysia

3. School of Civil Engineering, College of Engineering Universiti Teknologi MARA,Shah Alam,Malaysia

4. Transport & Logistics Technical University of Munich,Faculty of Rail,Asia,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10651580/10652257/10652339.pdf?arnumber=10652339

Reference24 articles.

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

2. Automatic Road Crack Detection and Characterization

3. Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

4. Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model

5. Machine learning-based pavement crack detection, classification, and characterization: a review

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