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A hough transform based scan registration strategy for Mobile Robotic Mapping

机译:基于霍夫变换的移动机器人映射扫描配准策略

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The scan registration is the cornerstone to Mobile Robotic Mapping, and the majority of existing global registration methods are dependent on specific features. This paper presents a global feature-less scan registration strategy based on the ground surface, which is extremely common in Mobile Robotic Mapping scenarios. The 3D rotation is decoupled from 3D translation by transforming the input scans into the Hough domain, wherein Phase Only Matched Filtering (POMF) is adopted for the partially overlapped signal registration. No particular features in the input data are prerequisite to our algorithm. The algorithm is validated by the challenging scans captured by our custom-built platform and a public dataset. The result illustrates the reliability of this algorithm to align feature-less, partially overlapped and noisy scans.
机译:扫描注册是“移动机器人映射”的基础,并且大多数现有的全局注册方法都依赖于特定功能。本文提出了一种基于地面的全局无特征扫描配准策略,这在移动机器人制图场景中非常普遍。通过将输入扫描转换为霍夫域,将3D旋转与3D平移解耦,其中仅相位匹配滤波(POMF)用于部分重叠的信号配准。输入数据中没有任何特定特征是我们算法的先决条件。该算法已通过我们的定制平台和公共数据集捕获的具有挑战性的扫描得以验证。结果说明了该算法在对齐无特征,部分重叠和有噪声的扫描时的可靠性。

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