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Localizability of unicycle mobiles robots: An algebraic point of view

机译:独轮车机器人的可定位性:一种代数的观点

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摘要

A single landmark based localization algorithm for unicycle mobile robots was provided in [1]. It is based on the algebraic localizability notion and an efficient differentiation algorithm in noisy environment ([2], [3]). Let us stress that this localization algorithm do not need to know the linear and the angular velocities which are reconstructed by this algorithm using the kinematic model. In this paper, a sensibility study leads to a new fusion algorithm in the multi landmark case using as a basis our posture differentiation based estimator. Some simulations and experimental results are presented in order to prove the effectiveness of the proposed method compared to the well known EKF method.
机译:在[1]中提供了一种用于单轮移动机器人的基于单一地标的定位算法。它基于代数可定位性概念和在嘈杂环境中的高效区分算法([2],[3])。让我们强调,这种定位算法不需要知道线性和角速度,该速度和角速度是由该算法使用运动学模型重建的。在本文中,一项敏感性研究得出了一种新的融合算法,该算法以基于姿势差异的估计器为基础,在多界标情况下进行了融合。提出了一些模拟和实验结果,以证明与已知的EKF方法相比,该方法的有效性。

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