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전조등의 시각적 특성을 이용한 야간 사각 지대 차량 검출 기법

Night-Time Blind Spot Vehicle Detection Using Visual Property of Head-Lamp

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초록

The blind spot is an area where drivers visibility does not reach. When drivers change a lane to adjacent lane, they need to give an attention because of the blind spot. If drivers try to change lane without notice of vehicle approaching in the blind spot, it causes a reason to have a car accident. This paper proposes a night-time blind spot vehicle detection using cameras. At nighttime, head-lights are used as characteristics to detect vehicles. Candidates of headlight are selected by high luminance feature and then shape filter and kalman filter are employed to remove other noisy blobs having similar luminance to head-lights. In addition, vehicle position is estimated from detected head-light, using virtual center line represented by approximated the first order linear equation. Experiments show that proposed method has relatively high detection porformance in clear weather independent to the road types, but has not sufficient performance in rainy weather because of various ground reflectors.

Abstract

The blind spot is an area where drivers visibility does not reach. When drivers change a lane to adjacent lane, they need to give an attention because of the blind spot. If drivers try to change lane without notice of vehicle approaching in the blind spot, it causes a reason to have a car accident. This paper proposes a night-time blind spot vehicle detection using cameras. At nighttime, head-lights are used as characteristics to detect vehicles. Candidates of headlight are selected by high luminance feature and then shape filter and kalman filter are employed to remove other noisy blobs having similar luminance to head-lights. In addition, vehicle position is estimated from detected head-light, using virtual center line represented by approximated the first order linear equation. Experiments show that proposed method has relatively high detection porformance in clear weather independent to the road types, but has not sufficient performance in rainy weather because of various ground reflectors.

참고문헌 (14)

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  10. Ronan O’Malley, "Rear-lamp vehicle detection and tracking in low-exposure color video for night conditions", IEEE Transaction on Intelligent Transportation System, 11(2) (2010)
  11. 김현구, "적응형 헤드 램프 컨트롤을 위한 야간 차량 인식", 대한임베디드공학회논문지, 6(1), pp.8~15 (2011), 대한임베디드공학회
  12. Raoul de Charette, "Real time visual traffic lights recognition based on spot light detection and adaptive traffic lights templates", Intelligent Vehicles Symposium, pp.358~363 (2009)
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  14. Grag Welch, "An Introduction to the kalman filter" (2006), UNC-Chapel Hill

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