반도체디스플레이기술학회지 (Journal of the Semiconductor & Display Technology)

한국반도체디스플레이기술학회 (The Korean Society Of Semiconductor & Display Technology)
권호 표지

차량용 블랙박스 영상을 이용한 주간 신호등 탐지 및 인식 시스템

Traffic Lights Detection and Recognition System Using Black-Box Images

  • 황지은 (세종대학교 디지털콘텐츠학과) ;
  • 안다솔 (세종대학교 디지털콘텐츠학과) ;
  • 이승화 (세종대학교 디지털콘텐츠학과) ;
  • 박성호 (세종대학교 디지털콘텐츠학과) ;
  • 박천수 (세종대학교 디지털콘텐츠학과)
  • 투고 : 2016.05.27
  • 심사 : 2016.06.22
  • 발행 : 2016.06.30
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초록

In this paper, we propose a traffic light detection and recognition (TLDR) algorithm in the daytime. The proposed algorithm utilizes the color and shape information for the TLDR. At first, a traffic light is detected and recognized based on its shape information. Then, the color range of the detected traffic light is investigated in HSV color space. The input data of the proposed TLDR algorithm is the color image captured using the black box camera during driving. Our simulations demonstrate that the proposed algorithm can achieve a high detection and recognition performance for the images including traffic lights.

키워드

참고문헌

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