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Estimating search depths in hierarchical path planning

机译:在分层路径规划中估算搜索深度

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If collision free paths can be found on search graphs with few nodes and coarse resolutions, then traditional A* is fast. However, if such paths exist only on fine resolution graphs or at deeper levels of search hierarchies then A* is usually very slow. The paper studies two questions. First, when it is beneficial to use the plain A* instead of the method resembling an earlier hierarchical planner (Autere and Lehtinen, 1997). Second, which of the following two ways is better? Explore all the, nodes at a resolution i before exploring any nodes at finer resolutions or at deeper levels of the search hierarchy: i+1, i+2, ... . The other way is to explore nodes simultaneously at several finer resolutions (
机译:如果在几乎没有节点且分辨率较低的搜索图上可以找到无冲突的路径,则传统的A *很快。但是,如果这样的路径仅存在于较高分辨率的图上或在更深的搜索层次结构中,则A *通常非常慢。本文研究了两个问题。首先,当使用纯A *代替类似于早期分层计划器的方法是有利的时(Autere和Lehtinen,1997)。其次,以下两种方法哪一种更好?探索分辨率为i的所有节点,然后再探索分辨率更高或更深的搜索层次结构中的任何节点:i + 1,i + 2,...。另一种方法是同时以几个更好的分辨率(

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