Performance Bounds for Cooperative Simultaneous Localization and Mapping (C-SLAM)

Anastasios I. Mourikis, S. Roumeliotis
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引用次数: 37

Abstract

In this Technical Report we study the time evolution of the position estimates’ covariance in Cooperative Simultaneous Localization and Mapping (C-SLAM), and obtain analytical upper boundsfor the positioning uncertainty. The derived bounds provide descriptions of the asymptotic positioning performance of a team of robots in a mapping task, as a function of the characteristics of the proprioceptive and exteroceptive sensors of the robots, and of the graph of relative position measurements recorded by the robots. A study of the properties of the Riccati recursion which describes the propagation of uncertainty through time, yields (i) the guaranteed accuracyfor a robot team in a given C-SLAM application, as well as (ii) the maximum expected steady state uncertainty of the robots and landmarks, when the spatial distribution of features in the environment can be modeled by a known distribution.
协同同步定位与映射(C-SLAM)的性能边界
本文研究了协同同步定位与测绘(C-SLAM)中位置估计协方差的时间演化,得到了定位不确定性的解析上界。导出的边界描述了一组机器人在测绘任务中的渐近定位性能,作为机器人本体感觉和外感觉传感器特征的函数,以及机器人记录的相对位置测量图。对描述不确定性随时间传播的Riccati递归特性的研究,得出(i)给定C-SLAM应用中机器人团队的保证精度,以及(ii)当环境中特征的空间分布可以通过已知分布建模时,机器人和地标的最大期望稳态不确定性。
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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CiteScore
12.00
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