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근적외선 투과 성능 개선을 통한 차량용 나이트 비전 카메라의 화질 향상에 대한 연구
전대홍(Daehong Jeon),김기현(Kihyeon Kim),강호준(Hojoon Kang),변동규(Dongkyu Byeon),손수락(Surak Shon) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
One of Advanced Safety Vehicle (ASV) technique, Night Vision Uses near-infreared of far-infrared to assure the sight. This paper only discuss about the Night Vision Camera, which uses the near-infrared. Night Vision, which uses the near-infrared , doesn't give dazzling to the driver of on-coming traffic and can monitor the road status in night time. it's possible to reduce the blooming, which is the one of reason that affects the image quality of the near-infrared camera by the use of WDR(Wide Dynamic Range)Camera. This paper suggests the improvement of an automotive night vision camera through the near-infrared transmission enhancement, and proves the improvement of image quality by the examination.
전대홍(Daehong Jeon),오준규(Junkyu Oh),강호준(Hojoon Kang),변동규(Dongkyu Byeon),손수락(Surak Shon) 한국자동차공학회 2009 한국자동차공학회 부문종합 학술대회 Vol.2009 No.4
By the increase of the interests on the Advanced Safety Vehicle (ASV) recently, the research on the Head-Up Display (HUD), which is the device to improve driver's sight, has been going on actively. The one of benefits of HUD is that it improves the driver's sight by showing necessary information by the image on the front glass while driver is driving to improve the driving and safety. HUD is structured with the optical device, ECU, and Display part, and also it is necessary to develop the proper ECU to automobile specifications in order to adapt to automobiles. This paper discusses about the necessary ability categories and quality elements, and we made and tested in the simulator, which has same condition as real automobile situation.
김민관(Minkwan Kim),전대홍(Daehong Jeon),손수락(Surak Shon) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper proposes computer vision-based method for detecting oncoming-vehicle at nighttime. Headlamp was used as a feature of vehicle for oncoming-vehicle detection at nighttime. An input image was processed by threshold value and morphological closing to eliminate from noise and detecting of headlamp candidate area. Oncoming-vehicle headlamp detected to using the vertical projection method This proposed method is proven to be successful by experiments performed on images acquired by a moving vehicle at nighttime.