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Computation of the tangent graph of polygonal obstacles by moving-line processing

机译:用移动线法计算多边形障碍物的切线图

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The tangent graph is a powerful graphic data structure for the path-planning of a mobile robot among obstacles because it has fewer edges than the widely used visibility graph. This paper proposes an efficient algorithm for computing the tangent graph of a set of polygonal obstacles, The algorithm at first detects common tangents of obstacle boundaries by moving-line processing that cooperatively moves a straight segment on the boundaries, and then checks for intersections among detected tangents and the obstacles both by a sequential approach and a sweep-line technique. It is proved that the moving-line processing takes O(MN) and O([M+R]N) computation time in the best and worst cases, respectively, where N expresses the number of obstacle vertices, and M denotes the number of convex segment chains of the obstacle boundaries, and R is a parameter representing the complexity of the boundaries.
机译:切线图是用于移动机器人在障碍物之间进行路径规划的强大图形数据结构,因为它的边缘少于广泛使用的可见性图。本文提出了一种计算一组多边形障碍物切线图的有效算法,该算法首先通过协同移动边界上直线段的移动线处理来检测障碍物边界的公切线,然后检查检测到的障碍物之间的交点。切线和障碍物都采用顺序方法和扫线技术。证明了在最佳和最差情况下,移动线处理分别花费O(MN)和O([M + R] N)的计算时间,其中N表示障碍物顶点的数量,M表示障碍物顶点的数量。障碍物边界的凸段链,R是代表边界复杂度的参数。

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