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Approach to high efficient hierarchical pathfinding of indoor mobile service robots based on grid map and Floyd-Warshall algorithm

机译:基于网格图和Floyd-Warshall算法的室内移动服务机器人高效分层寻路方法

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A new high efficient hierarchical pathfinding algorithm named Floyd-A*(FA*) is presented based on grid map of indoor environment for a mobile service robot. In FA*, an algorithm for key points extraction and region partition is designed according to distinction of indoor environment so that the representation of abstract map about indoor environment is more effective for high speed pathfinding. In offline search phase, Floyd-Warshall algorithm is used to acquire some useful knowledge as priori ones so that a more efficient query operation can be conducted to replace the online search process on abstract maps. Moreover, a kind of matrix memory mechanism is employed to greatly reduce memory overheads and improve the capacity of saving abstract paths. A series of experiments and evaluation analysis on benchmarks show that FA* speeds up A* by one to two orders of magnitude and makes significant improvement on efficiency over some other excellent variants of A* on grid map so as to drastically enhance the performance of our proposed pathfinding approach for further practical applications.
机译:基于室内环境网格图,提出了一种新型的高效分层寻路算法Floyd-A *(FA *)。在FA *中,根据室内环境的不同,设计了一种关键点提取和区域划分算法,从而使室内环境抽象图的表示对于高速寻路更加有效。在离线搜索阶段,Floyd-Warshall算法用于获取一些先验知识,从而可以进行更有效的查询操作来代替抽象地图上的在线搜索过程。此外,采用一种矩阵存储机制来大大减少存储开销并提高保存抽象路径的能力。在基准上进行的一系列实验和评估分析表明,FA *将A *的速度提高了一到两个数量级,并且与网格图上A *的其他一些出色变体相比,效率得到了显着提高,从而极大地提高了我们的性能。提出了进一步的实际应用的寻路方法。

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