Simultaneous Localization and Mapping with the use of RGB-D Image Processing

被引：0
|
作者：
Vecsey, Balazs [1 ]
Takacs, Daniel [1 ]
Vamossy, Zoltan [1 ]
机构：
[1] Obuda Univ, John von Neumann Fac Informatcs, Budapest, Hungary
来源：
2016 IEEE 14TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI) | 2016年
关键词：
SYSTEM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For a mobile robot to be able to navigate in an unknown environment it must create a model of that area, but also it has to be able to place itself in that model, and do these things at the same time. This process that consists of these two problems is called Simultaneous Localization and Mapping. Those SLAM systems, that use image processing to gain information for their operations are called Visual Simultaneous and Localization systems. Our aim is to design and create a four wheeled mobile robot, which is able to create a 3D representation of its environment. Then this virtual representation can be freely explore and used for finding a path between two points.
引用
收藏
页码：199 / 204
页数：6
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