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Development of a lane mark drawing robot

机译:车道标绘图机器人的开发

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摘要

In this paper, the authors propose a method for detecting and following a half-faded lane on an asphalt road using image processing. It ensures reliable detection and high speed following in ordinary outdoor scenes. The method of the image processing is based on a template matching with the "lane mark model". They also propose a method for the motion control of the robot which is based on the "look-ahead model". The feedback law adopted is PID (proportional-integral-derivative) control. The authors built a testbed robot, which aims to paint a half-faded lane mark semi-automatically. The details of this testbed robot and experimental results of a half-faded lane mark detection and following are described. Experimental results (trajectories of this robot) for an actual half-faded lane mark show the applicability of this method.
机译:在本文中,作者提出了一种使用图像处理技术来检测和跟踪沥青路面上的半衰落车道的方法。它可确保在普通室外场景中进行可靠的检测和高速跟踪。图像处理的方法基于与“车道标记模型”匹配的模板。他们还提出了一种基于“预见模型”的机器人运动控制方法。采用的反馈定律是PID(比例积分微分)控制。作者构建了一个测试机器人,该机器人旨在半自动绘制半褪色的车道标记。描述了该测试平台机器人的详细信息以及半衰落车道标记检测的实验结果,以及以下内容。实际的半衰落车道标记的实验结果(此机器人的轨迹)表明了该方法的适用性。

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