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3D FieldLut Algorithm Based Indoor Localization for Planar Mobile Robots Using Kinect

机译:基于FiableLut算法基于使用Kinect的平面移动机器人的室内定位

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The FieldLut algorithm is a widely used localization algorithm in the RoboCup MSL (Middle Size League). It is now used for indoor mobile robot localization, but it can only use 2D range data. This paper improves the FieldLut algorithm to allow the use of 3D range data for indoor localization and uses Kinect sensor as the input sensor. The core of our improvement is the creation of a 3D LUT (lookup table). The 3D LUT is created as a multi-layer 2D LUT. Additionally, a memory optimization method is proposed. Experimental result shows real-time performance at video rates and high accuracy; for example, using Kinect sensor, the localization error is below 15 cm in a 13 × 8 m room and the repeat localization is below 6 cm.
机译:FiaIrLut算法是Robocup MSL(中尺寸联赛)中使用的广泛使用的本地化算法。它现在用于室内移动机器人本地化,但它只能使用2D范围数据。本文改进了FieldLut算法,以允许使用用于室内定位的3D范围数据,并使用Kinect传感器作为输入传感器。我们改进的核心是创建3D LUT(查找表)。 3D LUT作为多层2D LUT创建。另外,提出了一种存储器优化方法。实验结果显示了视频速率和高精度的实时性能;例如,使用Kinect传感器,13×8米的房间内定位误差低于15厘米,重复定位低于6厘米。

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