Generalized local Voronoi diagram of visible region

R. Mahkovic, Tomaz Slivnik
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引用次数: 31

Abstract

A circular robot in unknown environment, populated by non-overlapping obstacles is considered. The robot is equipped with a discrete scanner e.g. laser range scanner. We present a method for local construction of a one-dimensional structure, similar to the generalized Voronoi diagram. We call this structure a generalized local Voronoi diagram (GLVD). GLVD is constructed from scan points of the visible region around the robot. We showed that GLVD partly matches, within the tolerances determined by the uncertainties of the scan points, the generalized Voronoi diagram generated by the free-form obstacles. The existence of a function, which groups the scan points into appropriate clusters, is required. The typical results of the experiments, conducted in the laboratory using SICK's laser range scanner PLS200, are presented.
可见区域的广义局部Voronoi图
研究了一种未知环境中存在不重叠障碍物的圆形机器人。机器人配备了一个离散扫描器,例如激光测距扫描器。我们提出了一种类似于广义Voronoi图的一维结构的局部构造方法。我们称这种结构为广义局部Voronoi图(GLVD)。GLVD由机器人周围可见区域的扫描点构成。我们发现,在扫描点的不确定性决定的容差范围内,GLVD部分匹配由自由形式障碍物生成的广义Voronoi图。需要存在一个函数,将扫描点分组到适当的簇中。给出了在实验室使用SICK激光测距仪PLS200进行的典型实验结果。
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