平面投影立体视觉道路提取方法

K. Onoguchi, N. Takeda, Mutsumi Watanabe
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引用次数: 36

摘要

本文提出了一种利用物体高度信息获取道路区域的自动驾驶汽车道路提取方法。由于道路区域可以假设为车辆前方平面的序列,因此道路的高度信息对于提取道路区域非常有效。为此,作者提出了一种新的方法,称为平面投影立体视觉(PPS)方法,该方法可以很容易地确定立体图像中的每个点是否存在于道路平面上。首先,PPS利用车内摄像机的高度和姿态,计算出一个表示道路面积的平面方程。接下来,将立体图像投影到平面上,如果在某一道路平面上确实存在对应点,则将对应点投影到某一道路区域上的相同位置,而在每个立体图像中,将与道路平面高度不同的对应点投影到不同的位置。平面投影描述是通过一组立体图像的投影图像相减得到的,道路区域可以用一组小数值的点来表示。真实道路场景的实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Planar projection stereopsis method for road extraction
This paper presents a new road extraction method for an autonomous vehicle which can acquire a road area by using height information of objects. Since a road area can be assumed to be a sequence of a flat plane in front of a vehicle, the road's height information is very effective for extracting a road area. For the purpose, the authors propose a new approach named the planar projection stereopsis (PPS) method which can easily decide whether each point in stereo images exists on the road plane or not. At first, PPS calculates a planar equation representing a road area by using height and pose of a camera in the vehicle. Next, stereo images are projected to the plane, where corresponding points are projected to the same positions on a certain road area if they really exist on a road plane, while corresponding points with different heights from the road plane are projected to different positions in each stereo image. Planar projection description is obtained by a subtraction between projected images from a set of stereo images and a road area can be represented by a set of points with small values. Experimental results for real road scenes have shown the effectiveness of the proposed method.
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