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The visibility--voronoi complex and its applications

机译:可见性 - voronoi复合体及其应用

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We introduce a new type of diagram called the VV(c)-diagram (the Visibility--Voronoi diagram for clearance c), which is a hybrid between the visibility graph and the Voronoi diagram of polygons in the plane. It evolves from the visibility graph to the Voronoi diagram as the parameter c grows from 0 to ∞. This diagram can be used for planning natural-looking paths for a robot translating amidst polygonal obstacles in the plane. A natural-looking path is short, smooth, and keeps --- where possible --- an amount of clearance c from the obstacles. The VV(c)-diagram contains such paths. We also propose an algorithm that is capable of preprocessing a scene of configuration-space polygonal obstacles and constructs a data structure called the VV(c)-complex. The VV(c)-complex can be used to efficiently plan motion paths for any start and goal configuration and any clearance value c, without having to explicitly construct the VV(c)-diagram for that c-value. The preprocessing time is O(n2 log n), where n is the total number of obstacle vertices, and the data structure can be queried directly for any c-value by merely performing a Dijkstra search. We have implemented a Cgal-based software package for computing the VV(c)-diagram in an exact manner for a given clearance value, and used it to plan natural-looking paths in various applications.
机译:我们介绍了一种名为VV (c) -diagram的新型图表(用于间隙c的可见性 - voronoi图),它是一个混合的可见性图和多边形的voronoi图之间的混合飞机。它从Voronoi图中的可见性图表演变为Voronoi图,因为参数C从0到∞增长。该图可用于规划用于在平面中的多边形障碍物中翻译机器人的自然观察路径。自然观察的路径短,光滑,并且可以在可能的情况下保持 - 来自障碍物的空间C。 VV (c) -diagram包含这样的路径。我们还提出了一种能够预处理配置空间多边形障碍场景的算法,并构造称为VV (c) -complex的数据结构。所述VV (c)中 - 配合物可用于任何起点和目标的配置和任何间隙值c有效地计划的运动路径,而无需显式构造VV (c)中 -diagram for c值。预处理时间是O(n 2 log n),其中n是障碍物顶点的总数,并且通过仅仅执行DIJKSTRA搜索,可以直接针对任何C值查询数据结构。我们实现了一个 CGAL 基于软件包用于计算VV (c)中 -diagram在确切方式对于一个给定间隙值,和使用它来规划各种应用中的自然路径。

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