Vision-Based Simultaneous Localization and Map Building: Stereo and Mono SLAM

被引：0

作者：

Kalay, Adnan ^{[1
]}

Ulusoy, Ilkay ^{[2
]}

机构：

[1] Aselsan AS, Yazilim Muhendisligi Mudurlugu, Savunma Sistem Teknolojileri Grubu, Ankara, Turkey

[2] Orta Dogu Teknik Univ, Elekt Elekt Muhendesligi Bolumu, Orta, Turkey

来源：

2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The simultaneous operation of localization capability which serves to navigation of an autonomous robot and map building mechanism which provides an environmental model is called SLAM (Simultaneous Localization and Map Building). While various sensors are used for this algorithm, vision-based algorithms are relatively new and have attracted more attention in recent years. In this work, while a Visual SLAM algorithm utilizing Extended Kalman Filter is introduced, the two main branches, mono and stereo SLAM algorithms, are also compared.

引用

页码：391 / +

页数：2

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