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Comparison of mobile platform localisation using odometry and visual information

机译:使用里程表和视觉信息的移动平台本地化比较

摘要

The purpose of this thesis was to compare robot odometry with localization using visual information. In this thesis we used a robot iRobot Roomba series 531. Since this is a commercial robot, the price of such robots is relatively low, therefore odometry of such robots is very inaccurate. Localization with visual information was realised such, that we fixated color camera on top of a robot, which was directed toward the ceiling. On the ceiling, we attached four markers, through which robot movement was calculated, according to the captured image of ceiling markers in the initial robot position. The system was evaluated so the robot was given a pre-known path on which it moves, through which the error of robot odometry has been found. On the same path accuracy of visual information was obtained. At the end we compared errors of visual information and robot odometry.
机译:本文的目的是使用视觉信息来比较机器人的测距和定位。在本文中,我们使用了iRobot Roomba系列531机器人。由于这是一款商用机器人,因此此类机器人的价格相对较低,因此此类机器人的里程测量非常不准确。实现了视觉信息的本地化,因此我们将彩色摄像机固定在指向天花板的机器人上方。在天花板上,我们根据在初始机器人位置捕获的天花板标记图像,附加了四个标记,通过这些标记计算了机器人的运动。对系统进行了评估,以便为机器人提供一个已知的路径,使其在该路径上移动,通过该路径可以发现机器人里程表的误差。在相同的路径上,可以获得视觉信息的准确性。最后,我们比较了视觉信息和机器人里程表的误差。

著录项

  • 作者

    Urbanija Matej;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"sl","name":"Slovene","id":39}
  • 中图分类

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