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Real-time road detection with image texture analysis-based vanishing point estimation

机译:基于图像纹理分析的消失点估计的实时道路检测

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Visual perception is a key component of an autonomous vehicle system. Road detection is an essential function of a visual navigation system for an autonomous vehicle. Generally, detecting lane markings is a feasible and efficient approach to road detection. However, this method is not applicable for particular situations, e.g. rural roads without lane markings. Furthermore, lacking of sharp, smooth edges and homogeneous surface brings difficulties to road detection. A texture analysis based vanishing point estimation method is used to detect road in this paper. The idea is that consistency in texture leads to the vanishing point in an image. The method uses the Sobel filter to compute the texture orientations. Then the vanishing point of the road is voted from the orientation of the texture. Finally, the vanishing point is used to constrain the searching of two road boundaries since they pass through the vanishing point.
机译:视觉感知是自动驾驶汽车系统的关键组成部分。道路检测是用于自动驾驶车辆的视觉导航系统的基本功能。通常,检测车道标记是一种可行且有效的道路检测方法。但是,此方法不适用于特定情况,例如没有车道标志的乡村道路。此外,缺乏锋利,光滑的边缘和均匀的表面给道路检测带来了困难。本文采用基于纹理分析的消失点估计方法对道路进行检测。这个想法是纹理的一致性会导致图像消失。该方法使用Sobel滤波器来计算纹理方向。然后,从纹理的方向对道路的消失点进行投票。最后,消失点用于约束两个道路边界的搜索,因为它们通过了消失点。

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