지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.8
- 수록면
- 841 - 847 (7page)
- DOI
- 10.5302/J.ICROS.2024.24.0072
이용수
초록· 키워드
오류제보하기
In this paper, we present a method for detecting the light from headlights using a camera and controlling the speed of a vehicle according to the light intensity using fuzzy logic control. MATLAB/SIMULINK is utilized to design the vehicle dynamic model and fuzzy controller. After acquiring the image of the light from headlight using a camera, the image is processed to calculate the distance. After converting the image to grayscale, image processing is conducted by segmenting the image based on a threshold. The values for the segmented area of the image are obtained by multiplying by weights and summing the products. Fuzzy control enables the handling of vague and ambiguous data, allowing control without complex mathematical modeling. Using fuzzy control, control is conducted without mathematical modeling for distance image values and vehicle speed. A fuzzy controller takes inputs of the previously calculated distance value and the vehicle’s speed and outputs torque accordingly to control the speed of the vehicle model. We create the membership functions and rules for the vehicle"s speed, distance, and torque. The appropriate torque is outputted based on the vehicle’s position and velocity to gradually decrease the vehicle’s speed, ensuring that the vehicle comes to a stop with zero velocity at the set point.
목차
Abstract
I. 서론
II. 헤드라이트의 빛 세기에 따른 차량의 거리 측정
III. 차량 모델링
IV. 퍼지 제어기 설계
V. 결론
REFERENCES
참고문헌 (17)
참고문헌 신청
A. G. Dineshkumar, A. K. Singh, and B. Karthikeyan, “Design and implementation of intelligent headlight system for improvised safety in vehicles,” 2018 2nd International Conference on Trends in Electronics and Informatics, pp. 667-670, May. 2018.
B. Zheng, X. j. He, and J. D. Zhang, “Intelligent control system design of automobile headlights,” 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis, pp. 373-377, Apr. 2019.
A. Banik, A. Banik, Gb. Gagandeep, and K. Prasad, “Smart adaptive headlight system for vehicles,” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications, pp. 579-584, Sep. 2023.
K. Robert, “Night-time traffic surveillance: A robust framework for multi-vehicle detection classification and tracking,” 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 1-6, Sep. 2009.
W. Zhang, Q. M. J. Wu, G. Wang, and X. You, “Tracking and pairing vehicle headlight in night scenes,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, pp. 140-153, Sep. 2012.
B. Zheng, X. j. He, and J. D. Zhang, “Intelligent control system design of automobile headlights,” 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis, pp. 373-377, Apr. 2019.
A. Banik, A. Banik, Gb. Gagandeep, and K. Prasad, “Smart adaptive headlight system for vehicles,” 2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications, pp. 579-584, Sep. 2023.
K. Robert, “Night-time traffic surveillance: A robust framework for multi-vehicle detection classification and tracking,” 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 1-6, Sep. 2009.
W. Zhang, Q. M. J. Wu, G. Wang, and X. You, “Tracking and pairing vehicle headlight in night scenes,” IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, pp. 140-153, Sep. 2012.
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