A lane detection and rebuilding method based on machine vision is proposed.
本文提出了一种基于机器视觉的车道检测与重建方法。
A high speed lane detection method that satisfies the safety requirements of outdoor mobile robots was developed based on the segment-line road model and augmented transition networks (ATN).
为了满足室外移动机器人高速安全行驶的要求，提出了一种基于分段直线模型和增强型状态转移网络(atn)的车道识别方法。
A method based on image processing technique to detect lane with lane markings is proposed for driver assistant system.
利用图像处理技术，提出了一种基于车道标线检测的自动车辆驾驶控制方法。
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