| 注册
首页|期刊导航|计算机工程与应用|多视角几何Rao-Blackwellised SLAM算法

多视角几何Rao-Blackwellised SLAM算法

弋英民 黄莹

计算机工程与应用Issue(7):35-39,60,6.
计算机工程与应用Issue(7):35-39,60,6.DOI:10.3778/j.issn.1002-8331.1304-0079

多视角几何Rao-Blackwellised SLAM算法

SLAM method with multiple vision geometric and Rao-Blackwellised particle filtering

弋英民 1黄莹1

作者信息

  • 1. 西安理工大学 自动化与信息工程学院,西安 710048
  • 折叠

摘要

Abstract

Low price sensor and high precise localization is a hot research issue. In this paper, only single camera is used to catch multiple images. The relation between images is gotten by factorization method. From the multiple geometric calculating, the deep on the environments is gotten. The robot simultaneous localization and mapping is performed iteratively by the Rao-Blackwellisated filter. The observation model is approximated with first-order Taylor. The experiments are performed with MT-R robot plant. The results show that the localization precise of robot with only single camera is more than the classic method.

关键词

多视角几何/单目视觉/Rao-Blackwellised粒子滤波/SLAM算法

Key words

multiple vision geometric/single camera/Rao-Blackwellised particle filtering/SLAM algorithm

分类

信息技术与安全科学

引用本文复制引用

弋英民,黄莹..多视角几何Rao-Blackwellised SLAM算法[J].计算机工程与应用,2015,(7):35-39,60,6.

基金项目

国家自然科学基金(No.51275405);陕西省教育厅自然科学专项(No.2013Jk1078)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

访问量0
|
下载量0
段落导航相关论文