Visual environment mapping based on computer vision

被引：0
|
作者：
Ruzicka, Michal [1 ]
Masek, Petr [2 ]
机构：
[1] Brno Univ Technol, Inst Automat & Comp Sci, Brno, Czech Republic
[2] Brno Univ Technol, Inst Automat & Comp Sci, Brno, Czech Republic
来源：
ADVANCED MECHATRONICS SOLUTIONS | 2016年 / 393卷
关键词：
Phase correlation; particle filters; localization; mapping; stitching; computer vision; image processing; mobile robot; discrete Fourier transform; inverse discrete Fourier transform and Hanning window;
D O I：
10.1007/978-3-319-23923-1_90
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents method, which can be used for localization of autonomous mobile robots inside of buildings. The method is able to map environment, where the mobile robot operates. For this purpose was used phase correlation and image stitching method. Presented method uses continuously created map of environment for localization. Localization uses particle filters for mobile robot position estimation.
引用
收藏
页码：643 / 649
页数：7
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