Annual Conference of KIPS (한국정보처리학회:학술대회논문집)

  • 2024.05a
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  • Pages.447-449
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  • 2024
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  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Implementation of Traffic Light Recognition System based on Image for Autonomous Driving

자율주행을 위한 이미지 기반 신호등 인지시스템 구현

  • Gyeongmin Kim (Dept. of Mechanical & Biomedical, Mechatronics Engineering, Kangwon National University) ;
  • Minhyoung Yoon (Dept. of Mechanical & Biomedical, Mechatronics Engineering, Kangwon National University) ;
  • Byeongseok Ryu (Dept. of Chemical & Biomolecular Engineering, Yonsei University) ;
  • YoungGyun Kim (Convergence Software Lab.)
  • 김경민 (강원대학교 문화예술.공과대학 기계의용.메카트로닉스공학과) ;
  • 윤민형 (강원대학교 문화예술.공과대학 기계의용.메카트로닉스공학과) ;
  • 류병석 (연세대학교 공과대학 화공생명공학과) ;
  • 김영균 (융합소프트웨어랩)
  • Published : 2024.05.23
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Abstract

본 논문에서 다양한 환경적 요인에서 촬영한 이미지 데이터를 활용하여 신호등 위치의 정확한 탐지 및 신호등의 색상 인식을 통해 교통 신호를 판별하는데 사용되는 컴퓨터 비전 기반의 신호등 인식 시스템 알고리즘을 제안하였다. 이를 통해 기존에 신호를 인식하던 LiDAR 및 RADAR 센서를 대신해 카메라를 사용함으로써 자율주행 차의 제작비용 감소를 기대할 수 있다. 또한 다양한 환경의 이미지 데이터를 통해 실험을 진행하였고 이러한 실험결과를 분석하고 적용함으로써 악천후에서의 효과적인 신호등 인식 시스템을 구축하는데 기여하고자 한다.

Keywords

References

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