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On registration of vector maps with known correspondences

机译:关于带有已知对应关系的矢量地图的配准

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Data association and registration is an important and actively researched topic in robotics. This paper deals with registration of two sets of line segments, which is especially useful in mapping applications. Our method is non-iterative, finding an optimal transformation in a single step, in a time proportional only to a number of the corresponding line segments. The procedure also provides diagnostic measures of reliability of the computation and of similarity of the data sets being registered. At this point, the method presumes known correspondences, which is limiting, but the discussion in the end reveals some possibilities to overcome this issue, which we are examining. Practical properties are demonstrated on a typical task of localization of a robot with a known map.
机译:数据关联和注册是机器人技术中一个重要且正在积极研究的主题。本文涉及两组线段的配准,这在制图应用程序中特别有用。我们的方法是非迭代的,只需一步即可在仅与多个相应线段成比例的时间内找到最佳变换。该过程还提供诊断措施,以确保计算的可靠性和所注册数据集的相似性。在这一点上,该方法假定已知的对应关系是有限的,但是最后的讨论揭示了克服此问题的一些可能性,我们正在研究中。在具有已知地图的机器人本地化的典型任务中展示了实用属性。

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