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Finding the shortest path of a disc among polygonal obstacles using a radius-independent graph

机译:使用与半径无关的图在多边形障碍物中寻找光盘的最短路径

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An algorithm for finding the shortest path of a disc among a set of polygonal obstacles is presented. Let N/sub t/ denote the total number of obstacle vertices and N/sub c/ the number of convex vertices. Our algorithm uses a radius-independent data structure called extended tangent graph (ETG) which registers collision-free tangents of the obstacles according to different discs and takes O(N/sub c//sup 2/) space. The ETG depends only on original obstacles, and it is constructed in advance without using any information about the disc in O((N/sub c/+k)N/sub t/) computation time, where k is the number of outer common tangents of the obstacles. It takes O(N/sub t/logN/sub t/) time to partially update the ETG to reflect the start and goal of a given disc. The shortest path is planned by a graph-search algorithm.
机译:提出了一种用于在一组多边形障碍中找到光盘最短路径的算法。令N / sub t /表示障碍顶点的总数,N / sub c /凸顶点的数量。我们的算法使用了与半径无关的数据结构,称为扩展切线图(ETG),该结构根据不同的光盘记录障碍物的无碰撞切线,并占用O(N / sub c // sup 2 /)空间。 ETG仅取决于原始障碍物,它是预先构造的,在O((N / sub c / + k)N / sub t /)计算时间内不使用任何有关磁盘的信息,其中k是外部公共点的数量切线的障碍。它需要O(N / sub t / logN / sub t /)时间来部分更新ETG,以反映给定光盘的开始和目标。最短路径是通过图搜索算法规划的。

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