lane mark recognition 车道标识线识别
Lane recognition in unstructured environments is the basis for vision-based navigation of mobile robots.
非结构化环境的道路分割是移动机器人视觉导航的一个重要研究内容。
This paper presents a lane recognition method which can satisfy the high-speed requirement of outdoor mobile robots.
提出了一种可满足室外移动机器人高速行驶要求的车道线检测识别方法。
In this paper, a multi layer template correlation neural network (MTCNN) based on the pipelined image processing structure is proposed for the recognition of lane mark.
本文提出了一种便于流水线图像处理结构实现的多层模板相关神经元网络(MTCNN)。
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