조도를 고려한 표지판 인식
Traffic Sign Recognition Considering the Intensity of Illumination
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참고문헌
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초록
Recognition of traffic signs helps an unmanned ground vehicle to decide its behavior correctly, and it can reduce traffic accidents. However, low cost traffic sign recognition using a vision sensor is very difficult because the signs are exposed to various illumination conditions. This paper proposes a new approach to solve this problem using an illuminometer which detects the intensity of illumination. Using the intensity of illumination, the recognizer adjusts the parameters for image processing. Therefore, we can reduce the loss of information such as the shape and color of traffic signs. Experimental results show that the proposed method is able to improve the performance of traffic sign recognition in various weather and lighting conditions.
Abstract
Recognition of traffic signs helps an unmanned ground vehicle to decide its behavior correctly, and it can reduce traffic accidents. However, low cost traffic sign recognition using a vision sensor is very difficult because the signs are exposed to various illumination conditions. This paper proposes a new approach to solve this problem using an illuminometer which detects the intensity of illumination. Using the intensity of illumination, the recognizer adjusts the parameters for image processing. Therefore, we can reduce the loss of information such as the shape and color of traffic signs. Experimental results show that the proposed method is able to improve the performance of traffic sign recognition in various weather and lighting conditions.
참고문헌 (10)
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- H. Fleyeh, "Traffic and Road Sign Recognition", 박사, pp.2008
- 김도현, "퍼지 멤버쉽 함수로 최적화된 LVQ를 이용한 패턴 분류 모델", 정보과학회논문지 : 소프트웨어 및 응용, 29(8), pp.573~583 (2002), 한국정보과학회