IT Marketing and Policy
On the Method of Deriving Weather Data to Secure the Reliability of the Variable Focus Function Camera
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- 발행기관
- 국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
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- 간행물
- International Journal of Internet, Broadcasting and Communication 바로가기
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- 통권
- Vol.14 No.2 (2022.05)바로가기
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- 페이지
- pp.162-170
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A412519
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Today, automobiles have become an indispensable element in people's lives, and the distribution of vehicles with various autonomous driving functions is expanding. Sensors such as cameras are used to recognize various situations on the road as an essential element for autonomous driving functions, but camera sensors have disadvantages that are vulnerable to bad weather. In this paper, we present a derivation process that defines external weather environment factors that negatively affect the performance of a camera for an autonomous vehicle. Through the proposed process, it is expected that it will contribute to securing the reliability of the camera and further improving the safety of autonomous vehicles.
목차
Abstract
1. Introduction
1.1 Background
1.2 Problem definition
1.3 Composition of the paper
2. Weather data influence factor analysis and derivation process establishment
2.1 Weather Environment Derivation Process
2.2 External environmental condition
2.3 Effect of external weather environment on camera sensor
3. Weather environment derivation procedure and output
3.1 Survey of Domestic Status and Preliminary Research
3.2 Survey on Overseas Status and Preliminary Research
3.3 Gathering weather environmental conditions
3.4 Identification of weather assessment criteria that affect camera performance
3.5 Definition of weather environment factors to be considered when manufacturing and operating cameras for autonomous vehicles
4. Conclusion
Acknowledgement
References
키워드
Variable Focus Function Camera Autonomous Vehicle SOTIF External Weather Condition Safety저자
간행물 정보
발행기관
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- 발행기관명
- 국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
- 설립연도
- 2000
- 분야
- 공학>전자/정보통신공학
- 소개
- 인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.
간행물
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- 간행물명
- International Journal of Internet, Broadcasting and Communication
- 간기
- 계간
- pISSN
- 2288-4920
- eISSN
- 2288-4939
- 수록기간
- 2009~2025
- 십진분류
- KDC 326 DDC 380
이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.14 No.2
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