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Study on mobile robot mapping based on binocular vision and Voronoi diagram

机译:基于双目视觉和Voronoi图的移动机器人制图研究

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In this paper, we determine the three-dimensional coordinates of the obstacle with binocular vision sensor based on the application of improved SIFT (Scale-invariant feature transform) algorithm, the data will be treated as the the model generator of Voronoi diagram to complete the global map building. The biggest advantage of the V diagram is that the environmental path road is based on the vertical of the discrete centers of obstacles, which may make sure that the robot can keep away from the obstructions during operation. The experimental result shows that the map after construction demonstrate high reliability which consistent with the requirements of navigation.
机译:在本文中,我们基于改进的SIFT(尺度不变特征变换)算法,利用双目视觉传感器确定障碍物的三维坐标,该数据将作为Voronoi图的模型生成器来完成。全球地图构建。 V图的最大优点是环境路径基于障碍物离散中心的垂直方向,这可以确保机器人在操作过程中可以远离障碍物。实验结果表明,构建后的地图具有较高的可靠性,符合导航的要求。

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