为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 -In order to improve the effectiveness of unstructured road recognition algorithm presents a new method of road segmentation and establish the way of regional and off-roa

利用vc和OpenCV实现香港城市非结构化道路的检测和跟踪，目前对直路可以达到比较好的效果-Using vc and the OpenCV implementation of the City of unstructured road detection and tracking, the current direct paths to achieve better results

为了提高非结构化道路识别算法的有效性,提出了一种道路分割的新方法,建立了道路区域域和非道路区域混合高斯彩色模型,根据像素隶属于彩色模型的概率进行基于彩色信息道路 - -A road split in order to improve the effectiveness of unstructured road recognition algorithm is proposed to establish a road regional domain and non-road area Gau

利用纹理特征检测非结构化道路消失点，利用消失点和颜色特征检测道路区域(Using texture features to detect unstructured road disappearance points, using exit points and color characteristics to detect road areas)