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Dempster-Shafer Theory 기반의 CCD-IR 영상 융합 기법을 이용한 주/야간 보행자 검출 성능 향상 연구
손민석(Min Seok Son),김성호(Sungho Kim),마수드(Masoud Afrakhteh),이은령(Eunryung Lee),박미룡(Miryong Park) 제어로봇시스템학회 2017 제어·로봇·시스템학회 논문지 Vol.23 No.6
Recently, the advanced emergency braking system (AEBS) has become an important issue in the advanced driver assistance system (ADAS) to avoid pedestrian-to-car collisions. AEBS can prevent car accidents and reduce damages. The most important factor of AEBS is automatic pedestrian detection with high accuracy. A novel CCD and IR sensor fusion scheme is proposed instead of a single camera for accurate 24-hour detection capability. Dempster-Shafer theory (DST) and day/night time recognition information can provide stable pedestrian detection. Outdoor experimental results show upgraded performance regardless of time of day.
AEB를 위한 CCD와 IR카메라 융합 기반의 주/야간 보행자 검출 기술 동향 분석
손민석(Minseok Son),김성호(Sungho Kim),이은령(Eunryung Lee),마수드(Masoud afrakhteh),박미룡(Miryoung Park) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
In recent years, The interest of abrupt emergency brake (AEB) for preventing occlusions or reducing damages is increasing. However, most existing AEB systems are able to work only daytime or nighttime. But it has to detect pedestrians without the restriction of time. Since above-mentioned problem, This paper analyzes the current state-of-the-arts of pedestrian detection using the fusion of CCD and IR camera for AEB.
ADAS 용 보행자 검출을 위한 적외선 데이터베이스 구축 동향과 방사 분석 온도 기반의 적외선 데이터베이스 구축
김태환(Taehwan Kim),김태훈(Taehoon Kim),손민석(Minseok Son),김성호(Sungho Kim),이은령(Eunryung Lee),마수드(Masoud afrakhteh),박미룡(Miryong Park) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
This paper overviews the history of the infrared datasets for the advanced driver assistant system(ADAS) related pedestrian detection, which raised the issue. When viewed at the representatives, most of them are not appropriate considering ADAS. Infrared datasets for ADAS have the problem of converted far infrared(FIR) intensity. Thus, building the radiometric temperature based infrared dataset can overcome some restrictions and develop the potential of the this field.