Deep Discriminant Learning-based Asphalt Road Cracks Detection via Wireless Camera Network

Wen Cao, Yuxin Zou, Mingyuan Luo, Peng Zhang, Wei Wang, Wei Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

The detection of cracks on asphalt pavement is an important task to ensure the safety of driving and the service life of pavement. Based on a visual camera-based asphalt pavement crack detection system introduced in this paper, the asphalt pavement image data can be wirelessly transmitted and the detection of cracks within the image data can be carried out in real-time. Main steps of the processing are as follows. First, the transmitted images are preprocessed via histogram equalization, Gaussian filtering, edge detection, morphological gradient, data augmentation, etc. Then, this paper proposes three deep discriminant learning-based models as classifiers, whose performance are also compared with those of classifiers based on popular deep generative adversarial learning-based models and classic machine learning models. Experimental results demonstrate that the detection method based on the VGG19 classifier has the most satisfactory performance, in which an average $F_{1}$ score of 0.8886 is reported. Also, the introduced method is robust for various situations in this asphalt pavement crack detection study.

源语言英语
主期刊名2019 Computing, Communications and IoT Applications, ComComAp 2019
出版商Institute of Electrical and Electronics Engineers Inc.
53-58
页数6
ISBN(电子版)9781728119731
DOI
出版状态已出版 - 10月 2019
活动2019 IEEE International Conference on Computing, Communications and IoT Applications, ComComAp 2019 - Shenzhen, 中国
期限: 26 10月 201928 10月 2019

出版系列

姓名2019 Computing, Communications and IoT Applications, ComComAp 2019

会议

会议2019 IEEE International Conference on Computing, Communications and IoT Applications, ComComAp 2019
国家/地区中国
Shenzhen
时期26/10/1928/10/19

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