运动图像的时空大小对点状法定位的影响

T. Nishimura, H. Kojima, Y. Itoh, A. Held, S. Nozaki, S. Nagaya, R. Oka
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引用次数: 7

摘要

我们一直在开发一种自主机器人的定位方法,而不使用任何关于环境的先验知识或假设。该方法具有通用性和鲁棒性,可用于实际机器人任务。利用基于简化图像序列的映射描述,通过参考间隔无连续动态规划(RIFCDP)检测映射中与输入帧序列匹配的帧序列。由于RIFCDP可以通过非线性匹配识别任意帧序列,因此该方法可以应对机器人速度的变化。在本文中,我们展示了一个实时定位系统,并通过一些评估实验说明了我们的方法在现实世界中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of time-spatial size of motion image for localization by using the spotting method
We have been developing a localization method for an autonomous robot without using any prior knowledge or assumptions about the environment. The method is general and robust and can be used in real world robot tasks. With a map description based on a reduced image sequence, we detect a frame sequence in the map which matches an input frame sequence, by means of reference interval-free continuous dynamic programming (RIFCDP). The method can cope with changes in the robot's speed because RIFCDP can spot arbitrary frame sequences by nonlinear matching. In this paper, we show a real-time localization system, and we illustrate the effectiveness of our method in the real world by some evaluation experiments.
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