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Range sensor-based localization of mobile robots in semi-structured environments

机译:半结构化环境中基于距离传感器的移动机器人定位

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There are various localization schemes for autonomous navigation of indoor mobile robots. However, most range sensor-based localization schemes only operate efficiently in environments where the geometric structure is fixed. In other words, localization performance is guaranteed only when the geometric structure of the actual environment matches with the geometric information given in the map. To resolve this limitation, this paper proposes a range sensor-based localization algorithm that can be efficiently used in semi-structured environments. By using both the natural and artificial landmarks simultaneously, a localization technique that is robust to environmental changes can be implemented. Experimental results show that localization performance in semi-structured environments can be improved using the proposed method.
机译:室内移动机器人的自主导航有多种定位方案。但是,大多数基于距离传感器的定位方案仅在几何结构固定的环境中有效运行。换句话说,只有当实际环境的几何结构与地图中给出的几何信息相匹配时,才能保证定位性能。为了解决此限制,本文提出了一种基于距离传感器的定位算法,该算法可在半结构化环境中有效使用。通过同时使用自然界标和人工界标,可以实现对环境变化具有鲁棒性的定位技术。实验结果表明,该方法可以提高半结构化环境下的定位性能。

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