Mobile robot pose tracking by correlation of laser range finder scans in Hough domain

D. Graovac, Srecko Juric-Kavelj, I. Petrović
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引用次数: 6

Abstract

This paper proposes a correlation scan matching method based on matching consecutive readings of laser range finder. The method uses the Hough transform and the Hough spectrum for determining the relative rotation. By calculating also translation in the Hough domain, the method can also be successfully used in non-perpendicular environments. This paper also looks at validity of utilizing the probabilistic Hough transform with regard to the complexity and the accuracy of the algorithm. Proposed scan matching methods are used for mobile robot pose tracking. Developed algorithms are validated by simulation and experimental tests.
基于Hough域激光测距扫描的移动机器人位姿跟踪
提出了一种基于激光测距仪连续读数匹配的相关扫描匹配方法。该方法利用霍夫变换和霍夫谱来确定相对旋转。通过计算霍夫域的平移量,该方法也可以成功地应用于非垂直环境。本文还从算法的复杂度和精度两方面考察了利用概率霍夫变换的有效性。将提出的扫描匹配方法用于移动机器人姿态跟踪。通过仿真和实验验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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