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OCP Based Online Multisensor Data Fusion for Autonomous Ground Vehicle

机译:基于OCp的自主地面车辆在线融合数据

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摘要

In this paper, online multisensor data fusion algorithm using CORBA event channel is proposed, in order to deal with simplifying problem in sensor registration and fusion for vehicle’s state estimation. The networked based navigation concept for Autonomous Ground Vehicle (AGV) using several sensors is presented. A simulation of various application scenarios are considered by choosing several parameters of UKF, i.e. weighting constant for sigma points and square root matrix. Normalized mean-square error (MSE) of Monte Carlo simulations are computed and reported in the simulation results. Furthermore, the middleware infrastructure based on Open Control Platform (OCP) to support the interconnection between the whole filter structures also reported.
机译:本文提出了一种基于CORBA事件通道的在线多传感器数据融合算法,以解决车辆状态估计中传感器配准和融合的简化问题。提出了使用多个传感器的自主地面车辆(AGV)的基于网络的导航概念。通过选择UKF的几个参数(即sigma点和平方根矩阵的加权常数)来考虑各种应用场景的仿真。计算蒙特卡洛模拟的归一化均方误差(MSE),并在模拟结果中报告。此外,还报告了基于开放式控制平台(OCP)的中间件基础架构,以支持整个过滤器结构之间的互连。

著录项

  • 作者

    Syahroni Nanang;

  • 作者单位
  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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