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- Lim, Sunghoon
- Industrial Intelligence Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.endPage | 14 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 9 | - |
| dc.citation.title | 대한안전경영과학회지 | - |
| dc.citation.volume | 22 | - |
| dc.contributor.author | 최재경 | - |
| dc.contributor.author | 공찬우 | - |
| dc.contributor.author | 임성훈 | - |
| dc.date.accessioned | 2023-12-21T17:45:49Z | - |
| dc.date.available | 2023-12-21T17:45:49Z | - |
| dc.date.created | 2021-04-15 | - |
| dc.date.issued | 2020-03 | - |
| dc.description.abstract | Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology. | - |
| dc.identifier.bibliographicCitation | 대한안전경영과학회지, v.22, no.1, pp.9 - 14 | - |
| dc.identifier.doi | 10.12812/ksms.2019.21.1.009 | - |
| dc.identifier.issn | 1229-6783 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/52722 | - |
| dc.identifier.url | http://koreascience.or.kr/article/JAKO202010060596827.page | - |
| dc.language | 한국어 | - |
| dc.publisher | 대한안전경영과학회 | - |
| dc.title.alternative | A Review of AI-based Automobile Accident Prevention Systems | - |
| dc.title | 인공지능 기반의 자동차사고 감지 시스템 적용 사례 분석 | - |
| dc.type | Article | - |
| dc.description.isOpenAccess | FALSE | - |
| dc.identifier.kciid | ART002571044 | - |
| dc.type.docType | Article | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.description.journalRegisteredClass | kci_candi | - |
| dc.subject.keywordAuthor | Automobile Accident Prevention System | - |
| dc.subject.keywordAuthor | Artificial Intelligence | - |
| dc.subject.keywordAuthor | Machine Learning | - |
| dc.subject.keywordAuthor | Deep Learning | - |
| dc.subject.keywordAuthor | e-Call Service | - |
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