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

机译:使用单镜头摄像机进行前车辆检测和距离估计

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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公路道路上使用一台单镜头汽车摄像机的前车辆检测及其距离估计。所提出的方法主要由道路区域检测和前车辆检测和距离计算组成。首先,霍夫变换用于检测选择适当的直线的线,并且它们的交叉点被利用以获得消失点。然后,提取强右和左边缘并连接到用于分割道路区域的消失点,并且在这种区域上利用前车的底部阴影来定位车辆的位置。最后,基于车辆的位置和消失点来计算主车辆和前车辆之间的距离。实验结果表明,该技术可以在城市和郊区道路上采用78%的郊区道路上的前载体。

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