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arXiv · 1706.02939

An Efficient Algorithm for Computing High-Quality Paths amid Polygonal Obstacles

Pankaj K. Agarwal·Kyle Fox·Oren Salzman
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Abstract

We study a path-planning problem amid a set $\mathcal{O}$ of obstacles in $\mathbb{R}^2$, in which we wish to compute a short path between two points while also maintaining a high clearance from $\mathcal{O}$; the clearance of a point is its distance from a nearest obstacle in $\mathcal{O}$. Specifically, the problem asks for a path minimizing the reciprocal of the clearance integrated over the length of the path. We present the first polynomial-time approximation scheme for this problem. Let $n$ be the total number of obstacle vertices and let $\varepsilon \in (0,1]$. Our algorithm computes in time $O(\frac{n^2}{\varepsilon ^2} \log \frac{n}{\varepsilon})$ a path of total cost at most $(1+\varepsilon)$ times the cost of the optimal path.

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Pankaj K. Agarwal, Kyle Fox, Oren Salzman. 2017-06-09. An Efficient Algorithm for Computing High-Quality Paths amid Polygonal Obstacles. https://arxiv.org/abs/1706.02939

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