CAJ | 학술논문

传统的前照灯系统存在安全隐患,自适应前照灯系统(AFS)可以有效消除安全隐患、降低交通事故率,准确获取行车环境特征信息是AFS实现自适应照明的前提条件.文章采用摄像头获取车辆夜间行车时驾驶员视野前方视频图像序列,提出了一种图像区域分割方法,结合基于光流模型的图像运动估计方法计算出各个区域的所有像素点的光流速度,并依据不同区域光流速度提出车辆行车环境特征判断准则,来获取夜间行车转弯及上下坡信息,实验证明了该方法的有效性.
전통적전조등계통존재안전은환,자괄응전조등계통(AFS)가이유효소제안전은환、강저교통사고솔,준학획취행차배경특정신식시AFS실현자괄응조명적전제조건.문장채용섭상두획취차량야간행차시가사원시야전방시빈도상서렬,제출료일충도상구역분할방법,결합기우광류모형적도상운동고계방법계산출각개구역적소유상소점적광류속도,병의거불동구역광류속도제출차량행차배경특정판단준칙,래획취야간행차전만급상하파신식,실험증명료해방법적유효성.
The traditional headlight system has some hidden problems of safety, but the adaptive front-lighting system(AFS) can eliminate these problems and reduce the rate of traffic accidents effectively. Achieving vehicle running surrounding feature information accurately is the precondition of AFS implementation. In this paper,the image sequence is obtained from the video data of driver's vision when the vehicle is running at night. A kind of image region segmentation method is proposed and the image motion estimation method based on the optical flow model is used to calculate the optical flow velocity of each pixel in four regions, then a rule of judging vehicle running surrounding features is proposed according to the velocity to obtain road environment information when the vehicle is running at night. The effectiveness of the method is proved.