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A global localization approach based on relative position relationships of line segments

机译:基于线段相对位置关系的全局本地化方法

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Scan matching is a method for mobile robot global localization in indoor structured environment. The disadvantages of current methods are low computational efficiency and large probability of error matching in the large-scale environment. In this paper, we proposed a new scan-matching method for global localization with the relative position relationship of complete line segments (CLS) and visible complete line segments (VCLS). The proposed method compared the relative relationship of CLS in local map and VCLS in ordinal global map to avoid excessive coordinate transformation and limits of line segments in matching between the local map and the global map. In the simulations, new method can obviously reduce computation cost in large-scale environment.
机译:扫描匹配是在室内结构环境中移动机器人全局本地化的方法。目前方法的缺点是低计算效率和大规模环境中的误差匹配概率。在本文中,我们提出了一种新的扫描匹配方法,用于全局定位,具有完整线段(CLS)和可见完整线段(VCLS)的相对位置关系。该方法比较了CLS在局部地图和序数全球地图中的VCL中的相对关系,以避免在本地地图和全球地图之间匹配中的线段过度坐标变换和限制。在仿真中,新方法可以显然降低大规模环境中的计算成本。

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