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Front Vehicle Detection and Distance Estimation Using Single-Lens Video Camera

机译:使用单镜头摄像机的前车检测和距离估计

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This paper is dedicated to the front vehicle detection and its distance estimation using one single-lens car video camera on the urban & suburb road roads. The proposed method mainly consists of road area detection and the front vehicle detection & distance calculation. Firstly, Hough transform is used to detect lines in which the appropriate straight lines are selected and their intersection points are exploited for obtaining the vanishing point. Then, both strong right and left edges are extracted and connected to the vanishing point for segmenting the road area, and on such area the bottom shadow of the front vehicle is utilized to locate the vehicle's position. Finally, the distance between the host vehicle and the front vehicle is calculated based on the position of a vehicle and the vanishing point. Experimental results show that the proposed technique can moderately detect the front vehicles on the urban & suburb roads with detection rate of 78% at least.
机译:本文致力于在城市和郊区道路上使用一台单镜头汽车摄像机对前方车辆进行检测并对其距离进行估算。所提出的方法主要包括道路面积检测和前车检测与距离计算。首先,使用霍夫变换来检测选择了适当直线的线,并利用它们的交点获得消失点。然后,提取强壮的右边缘和左边缘并将其连接到消失点以分割道路区域,并在该区域上利用前车的底影来定位车辆的位置。最后,基于车辆的位置和消失点计算本车与前方车辆之间的距离。实验结果表明,该技术能够对城市和郊区道路上的前方车辆进行适度的检测,检测率至少为78%。

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