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 |
DOI | 10.1145/3314545.3314547 |
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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