复杂场景非结构化道路消失点检测算法

Unstructured Road Vanishing Point Detection Algorithm for Complex Scenes

道路消失点检测算法广泛应用于智慧交通、自动驾驶等领域。现有的基于图像纹理特征的道路消失点检测算法易受场景中竖直灯杆等建筑物影响,存在着部分场景下鲁棒性差的问题。针对这一问题,提出一种复杂场景非结构化道路消失点检测算法。首先,该方法通过图像纹理角度特征对投票点权重进行更新,使得竖直建筑物中的图像纹理被削弱;其次,使用区域生长算法得到道路区域并对该区域内的投票点权重进行加强,进而增强图像感兴趣区域的纹理提取。试验表明,提出的算法能够在复杂场景下准确地检测到道路消失点,且具有一定的鲁棒性。

The road vanishing point detection algorithm is widely used in fields such as intelligent transportation and autonomous driving.Existing road vanishing point detection algorithms based on image texture features are easily affected by buildings such as vertical light poles in the scene,and have the problem of poor robustness in some scenes.In response to this problem,the article proposes an unstructured road vanishing point detection algorithm for complex scenes.First,the method updates the weights of voting points through the angle features of the image texture so that the image texture in the area of the vertical building is weakened;Secondly,the area growth algorithm is used to obtain the road area,and the weight of the voting points in the road area is strengthened,and then Enhanced texture extraction of regions of interest in images.Experiments show that the proposed algorithm can accurately detect the vanishing points of roads in complex scenes and has a certain degree of robustness.