Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN-Reference-Cited by-同舟云学术

Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN

Published:2022-09 Issue:9 Volume:23 Page:15190-15203
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liao Jianghai¹^ORCID,Yue Yuanhao²,Zhang Dejin¹^ORCID,Tu Wei¹^ORCID,Cao Rui³^ORCID,Zou Qin²^ORCID,Li Qingquan¹^ORCID

Affiliation:

1. Guangdong Key Laboratory of Urban Informatics, the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, and the MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, School of Architecture and Urban Planning, Shenzhen University, Guangdong, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. Department of Land Surveying and Geo-Informatics and the Smart Cities Research Institute, The Hong Kong Polytechnic University, Hong Kong, SAR, China

Funder

Joint Fund for Basic Research on High- Speed Railways

National Natural Science Foundation of China

Key Technology Project of Shenzhen Commission of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09678126.pdf?arnumber=9678126

Reference64 articles.

1. Adaptive Road Crack Detection System by Pavement Classification