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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图的移动机器人映射研究

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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)算法的应用,确定具有双目视觉传感器的障碍物的三维坐标,数据将被视为voronoi图的模型发生器以完成全球地图建设。 V图的最大优点是环境路径道路基于障碍物的垂直障碍物,这可以确保机器人在操作期间可以远离障碍物。实验结果表明,施工后的地图表现出与导航要求一致的高可靠性。

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