关键词: 计算机视觉, 路径规划, 单目视觉测距, 蚁群算法

Abstract: In view of the risk or unsuitable occasions for human activity, an intelligent car path planning system is constructed based on computer vision, which realizes the function of image processing, monocular vision measurement, global path planning and obstacle avoidance. This paper proposes the monocular vision measurement algorithm based on the color and texture of the ground. It improves the ant colony optimization combined with the car model performance and actual running environment. The performance of the optimization algorithm is better than other algorithms in run time.

Key words: computer vision, path planning, monocular vision measurement, ant colony algorithm