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Principles of Fusion of Inertial Navigation and Dynamic Vision

机译:惯性导航与动态视觉融合的原理

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摘要

The possibility of fusion of navigation data obtained by two separate navigation systems (strap-down inertial one and dynamic vision based one) is considered in this paper. The attention is primarily focused on principles of validation of separate estimates before their use in a combined algorithm. The inertial navigation system (INS) based on sensors of medium level quality has been analyzed on one side, while a visual navigation method is based on the analysis of a sequence of images of ground landmarks produced by an on-board TV camera. The accuracy of INS estimations is being improved continuously by optimal estimation of a flying object's angular orientation while the visual navigation system offers discrete corrections during the intervals of presence of landmarks inside the camera's field of view. The concept is illustrated by dynamic simulation of a realistic flight scenario.
机译:本文考虑了由两个独立的导航系统(捷联惯性系统和基于动态视觉的系统)获得的导航数据融合的可能性。注意主要集中在将单独的估计值用于组合算法之前,对其进行验证的原理。一方面,对基于中等质量传感器的惯性导航系统(INS)进行了分析,而视觉导航方法则基于对车载电视摄像机产生的地面地标图像序列的分析。通过对飞行物体的角度方向进行最佳估计,可以不断提高INS估计的准确性,而视觉导航系统则在照相机视场内存在地标的间隔期间提供离散校正。通过对实际飞行场景进行动态仿真来说明该概念。

著录项

  • 来源
    《Journal of robotic systems》 |2004年第1期|p.13-22|共10页
  • 作者

    Stevica Graovac;

  • 作者单位

    Faculty of Electrical Engineering University of Belgrade 73, Bulevar Kralja Aleksandra 11000 Belgrade Serbia and Montenegro;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机器人技术;
  • 关键词

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