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Impact of image corruptions on the reliability of traffic sign recognition using machine learning technique
Ao, Boyu; Ren, Jiachang; Guo, Chen
刊名ACM International Conference Proceeding Series
2019
页码6-8
关键词Image corruption Machine learning Neural networks Traffic sign recognition
DOI10.1145/3314545.3314547
会议名称3rd International Conference on Compute and Data Analysis, ICCDA 2019
URL标识查看原文
会议日期14 March 2019 through 17 March 2019
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4540476
专题山东大学
作者单位1.Wuhan University, No. 299 Bayi Road, Wuchang District, Wuhan, Hubei, China
2.University of Michigan, 500 S. State Street, Ann A
推荐引用方式
GB/T 7714
Ao, Boyu,Ren, Jiachang,Guo, Chen. Impact of image corruptions on the reliability of traffic sign recognition using machine learning technique[J]. ACM International Conference Proceeding Series,2019:6-8.
APA Ao, Boyu,Ren, Jiachang,&Guo, Chen.(2019).Impact of image corruptions on the reliability of traffic sign recognition using machine learning technique.ACM International Conference Proceeding Series,6-8.
MLA Ao, Boyu,et al."Impact of image corruptions on the reliability of traffic sign recognition using machine learning technique".ACM International Conference Proceeding Series (2019):6-8.
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