Image processing techniques in vision-based robot navigation

被引：0

作者：

Munguia, Rodrigo ^{[1
]}

Bolea, Yolanda ^{[2
]}

Grau, Antoni ^{[2
]}

机构：

[1] Univ Guadalajara, Dept Comp Sci, CUCEI, Guadalajara, Jalisco, Mexico

[2] Tech Univ Catalonia, UPC, Automat Control Dept, Barcelona, Spain

来源：

2018 INTERNATIONAL CONFERENCE ON CONTROL, ARTIFICIAL INTELLIGENCE, ROBOTICS & OPTIMIZATION (ICCAIRO) | 2018年

关键词：

computer vision; robot navigation; image processing;

D O I：

10.1109/ICCAIRO.2018.00036

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Motivated by the problems of vision-based mobile robot map building and localization, we present a comparative study of statistical methods for matching image features in a wide base line between learning and recognition phases. A general methodology called feature-class method for the problem of fast matching image features in a wide base line is described in the context of mobile robots. The objective of this work is to discuss and to show the performance of such methods in an example of visual SLAM, with experiments done with real data.

引用

页码：171 / 176

页数：6

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