Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing-Reference-Cited by-同舟云学术

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Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing

Published:2020-03 Issue: Volume:89 Page:103376
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Huyan Ju,Li Wei,Tighe Susan,Xiao Liyang,Sun Zhaoyun,Shao Nana

Funder

Nature Science Program of Shaanxi Province

Fundamental Research Funds for the Central Universities

University of Waterloo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference30 articles.

1. Image-based retrieval of concrete crack properties for bridge inspection;Adhikari;Autom. Constr.,2014

2. Use of the digital image correlation and acoustic emission technique to study the effect of structural size on cracking of reinforced concrete;Alam;Eng. Fract. Mech.,2015

3. Continuous wavelet analysis of pavement profiles;Alhasan;Autom. Constr.,2016

4. Surface crack detection in welds using thermography;Broberg;NDT E Int.,2013

5. Ir reflectance imaging for crystalline si solar cell crack detection;Brooks;IEEE J. Photovolt.,2015

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1. EAFNet: Extraction-amplification-fusion network for tiny cracks detection;Engineering Applications of Artificial Intelligence;2024-08

2. Aggregation segregation generative adversarial network (AG-GAN) facilitated multi-scale segregation detection in asphalt pavement paving stage;Engineering Applications of Artificial Intelligence;2024-03

3. Multi-scale context feature and cross-attention network-enabled system and software-based for pavement crack detection;Engineering Applications of Artificial Intelligence;2024-01

4. A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification;Engineering, Construction and Architectural Management;2023-12-28

5. Lane Crack Detection Based on Saliency;Remote Sensing;2023-08-24

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