RoadID: A Dedicated Deep Convolutional Neural Network for Multipavement Distress Detection-Reference-Cited by-同舟云学术

RoadID: A Dedicated Deep Convolutional Neural Network for Multipavement Distress Detection

Published:2021-12 Issue:4 Volume:147 Page:04021057
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Li Yishun¹,Liu Chenglong²,Shen Yu³,Cao Jing⁴,Yu Shanchuan⁵,Du Yuchuan⁶

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China.

2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., Shanghai 201804, China; Shanghai Engineering Research Center of Urban Infrastructure Renewal, Shanghai 200032, China.

3. Assistant Professor, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China.

4. Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China.

5. Senior Engineer, China Merchants Chongqing Communications Research & Design Institute Co. Ltd., Xuefu Ave. No. 33, Nan’an District, Chongqing 400067, China.

6. Professor, Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji Univ., Shanghai 201804, China; Shanghai Engineering Research Center of Urban Infrastructure Renewal, Shanghai 200032, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000317

Reference41 articles.

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2. Multiresolution Information Mining for Pavement Crack Image Analysis

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4. Ale L. N. Zhang and L. Li. 2018. “Road damage detection using RetinaNet.” In Proc. 2018 IEEE Int. Conf. on Big Data (Big Data) 5197–5200. New York: IEEE.

5. Arya D. H. Maeda S. K. Ghosh D. Toshniwal A. Mraz T. Kashiyama and Y. Sekimoto. 2020. “Transfer learning-based road damage detection for multiple countries.” Preprint submitted August 30 2020. http://arxiv.org/abs/2008.13101.

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