DocumentCode
3632084
Title
Simultaneous localization and mapping using Extended Kalman Filter
Author
Sirma Yavuz;Zeyneb Kurt;M. Serdar Bicer
Author_Institution
Bilgisayar M?hendisli?i B?l?m?, Y?ld?z Teknik ?niversitesi, Turkey
fYear
2009
fDate
4/1/2009 12:00:00 AM
Firstpage
700
Lastpage
703
Abstract
In this study, an offline statistical estimation algorithm based on extended Kalman filter method is developed to solve the SLAM (simultaneous localization and map building) problem. For the application, a robot equipped with only simple and cheap sensors is used. Two of the most frequent problems in SLAM algorithms which are known as loop closing and data association are effectively solved by extended Kalman filter method.
Keywords
"Simultaneous localization and mapping","Kalman filters","Bluetooth","Robot sensing systems","Reactive power","Sonar"
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
ISSN
2165-0608
Print_ISBN
978-1-4244-4435-9
Type
conf
DOI
10.1109/SIU.2009.5136492
Filename
5136492
Link To Document