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A comparative study between visibility-based roadmap path planning algorithms

机译:基于可见性的路线图路径规划算法的比较研究

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The aim of this paper is to evaluate the performance of our proposed art gallery-based roadmap algorithm against well-known and frequently cited visibility-based motion planning algorithms: the visibility graph and the visibility-based probabilistic roadmap. The comparison involves several criteria among which are: the cardinality of the graph, the completeness of the algorithm, coverage and connectivity of the free configuration space (CSfree) and computational cost. Our proposed algorithm is robust and fast as it generally covers the whole CSfree, based on the well-known art gallery theorem. It efficiently seeks to construct a roadmap that contains the smallest possible number of nodes (called guards) as opposed to generating a large number of nodes when compared to other motion planning approaches. The simulation results demonstrate that our proposed algorithm outperforms both algorithms and proves to not only combine the attractive features of both algorithms but also eliminate the drawbacks of each one.
机译:本文的目的是针对已知和经常引用的基于可见性的运动规划算法(可见性图和基于可见性的概率路线图)评估我们提出的基于画廊的路线图算法的性能。比较涉及几个标准,其中包括:图的基数,算法的完整性,自由配置空间(CS free )的覆盖范围和连通性以及计算成本。基于众所周知的画廊定理,我们提出的算法健壮且快速,因为它通常涵盖了整个CS free 。与其他运动计划方法相比,它有效地试图构建一个路线图,该路线图包含尽可能少的节点(称为防护),而不是生成大量节点。仿真结果表明,本文提出的算法优于两种算法,不仅结合了两种算法的吸引力,而且消除了每种算法的弊端。

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