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基于LieICP算法和激光雷达的移动机器人位姿估计

Pose estimation of mobile robots based on LieICP algorithm and laser radar

中文摘要英文摘要

本文研究了在机器人导航、目标跟踪等领域中的室外移动机器人自主定位问题,给出了一种基于激光雷达数据和Lie群表示点集配准算法的在线位姿估计方法。首先,对移动机器人系统引入二维激光雷达,将机器人自主定位问题转化为序列点集配准问题;然后,通过Lie群参数化方法,对点集配准问题进行求解;从而最后得到一个移动机器人自主定位方案。室外实验表明,该方案不仅解决了GPS受到信号盲区的干扰的问题,而且提高了算法的速度以及对环境、噪声等因素的鲁棒性。

In this paper, the online pose estimation of mobile robots is addressed, which is widely considered in the robot navigation, and target tracking, etc.. A novel method based on the laser radar data and the point set registration algorithm by Lie group representation is designed. First, 2D laser radar is introduced to the system of robotic motion, then the problem is translated into a series of point set registration. Second, by Lie group parametrization method, the point set registration problem is well solved. Then, a strategy of self-localization is formed. Finally, the outdoor experiment validates that our proposed method settles the problem of interference in the GPS-signal blind area well, as well as the robustness is improved.

张春家、杜少毅、应时辉、刘娟

雷达自动化技术、自动化技术设备通信

模式识别与智能系统激光数据位姿测量点集配准迭代最近点

Pattern recognition and intelligent systemlaser dataconfiguration measurementpoint set registrationiterative closest point

张春家,杜少毅,应时辉,刘娟.基于LieICP算法和激光雷达的移动机器人位姿估计[EB/OL].(2014-01-17)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201401-831.点此复制

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