FCWS 검출속도 향상을 위한 딥러닝 기반 임베디드시스템 설계 및 구현

유환신

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FCWS 검출속도 향상을 위한 딥러닝 기반 임베디드시스템 설계 및 구현 KCI 등재

Design and Implementation of Deep Learning-based Embedded System to Improve FCWS Detection Speed

유환신

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URLhttps://db.koreascholar.com/Article/Detail/437258

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한국기계기술학회지 (Journal of the Korean Society of Mechanical Technology)

제26권 제4호 (2024.08)
pp.709-713

한국기계기술학회 (Korean Society of Mechanical Technology)

초록

Recently, SDAS(Advanced driver-assistance system) are being installed to assist driving of vehicles and improve driver convenience. LDWS(Lane departure warning system) and FCWS(Forward collision warning system) are the core of the technology. Among these, FCWS is evaluated as a key assistive technology to prevent vehicle crashes. Accordingly, many algorithms are being developed and tested to improve detection speed and actual detection algorithms are being commercialized. In this paper, We propose the design of a system that optimizes FCWS speed by considering the AI performance of the terminal device when implemented as an embedded system.

키워드

전방추돌경보시스템 충돌 방지 시스템 설계 자동차 알고리즘 FCWS Anti-collision System design Automotive Algorithm

Abstract
1. 서 론
2. 연구 분석
3. 시스템 분석 설계 및 구현
3.1 거리 추정
3.2 속도 추정
4. 실험 결과
5. 결 론
References

저자

유환신(Professor, Dept. of Automotive and Mechanical Eng, Howon University) | Yu Han Sin Corresponding author

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