Title
Real-time self-localization method in a dynamically changing environment
Abstract
We propose a new real-time self-localization method for a mobile robot equipped with an omni-directional camera in a dynamically changing environment. This method uses direction of two landmarks and dead reckoning. Multiple localization process in parallel results robust and accurate localization. The proposed method applies to the soccer robot in the RoboCup middle-size league and an experimental result indicates that the approach is reliable.
Year
DOI
Venue
2003
10.1109/IROS.2003.1248814
IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference
Keywords
Field
DocType
cameras,mobile robots,real-time systems,robot vision,stability,RoboCup middle-size league,changing environment,dead reckoning,mobile robot,multiple localization process,omnidirectional camera,real-time self-localization method,soccer robot
Social robot,Robot control,Computer vision,Self localization,Robot vision,Computer science,Dead reckoning,Artificial intelligence,Mobile robot navigation,Soccer robot,Mobile robot
Conference
Volume
ISBN
Citations 
2
0-7803-7860-1
6
PageRank 
References 
Authors
0.91
12
3
Name
Order
Citations
PageRank
Matsuoka, T.1368.60
Akira Motomura2131.50
Tsutomu Hasegawa348571.41