PCDNet: Seed Operation–Based Deep Learning Model for Pavement Crack Detection on 3D Asphalt Surface-Reference-Cited by-同舟云学术

PCDNet: Seed Operation–Based Deep Learning Model for Pavement Crack Detection on 3D Asphalt Surface

Author:

Wen Tian¹^ORCID,Lang Hong²,Ding Shuo³,Lu Jian John⁴,Xing Yingying⁵

Affiliation:

1. Master’s Student, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China. ORCID:

2. Postdoctor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., Shanghai 201804, China (corresponding author).

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

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

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

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

Reference31 articles.

1. AASHTO. 2008. Mechanistic-empirical pavement design guide: A manual of practice. Washington, DC: AASHTO.

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