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후미등의 가시광통신을 이용한 이동상황에서의 영상센서 기반 차량 간 거리 추정 기법
윤수근(Soo-Keun Yun),전희진(Hui-Jin Jeon),김병욱(Byung Wook Kim),정성윤(Sung-Yoon Jung) 대한전기학회 2017 전기학회논문지 Vol.66 No.6
This paper proposes a method for estimating the distance betweeen vehicles in a moving situation using the image ratio of the distance between the tail lamps of a front vehicle. The actual distance between the tail lamps of a front vehicle was transmitted by LED tail lamps using visible light communication. As the distance between the front vehicle and the rear vehicle changes, it calculates the ratio of the pixel width between the tail lamps of the front vehicle projected on the image. The calculated values are used to derive a distance-mapping function through non-linear regression technique. Then, the distance between vehicles in the moving situation is estimated based on this function.
LED 가로등의 각도를 이용한 광카메라통신기반 횡방향 차량 위치추정 기법
전희진(Hui-Jin Jeon),윤수근(Soo-Keun Yun),김병욱(Byung Wook Kim),정성윤(Sung-Yoon Jung) 대한전기학회 2017 전기학회논문지 Vol.66 No.9
Lane detection technology is one of the most important issues on car safety and self-driving capability of autonomous vehicle. This paper introduces an accurate lane detection scheme based on OCC(Optical Camera Communication) for moving vehicles. For lane detection of moving vehicles, the streetlights and the front camera of the vehicle were used for a transmitter and a receiver, respectively. Based on the angle information of multiple streetlights in a captured image, the distance from sidewalk can be calculated using non-linear regression analysis. Simulation results show that the proposed scheme shows robust performance of accurate lane detection.