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On the Method of Deriving Weather Data to Secure the Reliability of the Variable Focus Function Camera

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

저자정보

  • Min Joong Kim Ph. D. Candidate, Department of Systems Engineering, Ajou University, Korea
  • Kyoung Lak Choi Senior Engineer, Automotive Engineering Service Team, DNV GL Business Assurance Korea
  • Tong Hyun Kim Ph. D, CEO, CanLab Co., LTD.
  • Young Min Kim Associate professor, Department of Systems Engineering, Ajou University, Korea

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