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Conference Paper Outdoor Localization System for Advertisement Robot
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Authors
Christiand, Hee Sung Chae, Won Pil Yu
Issue Date
2009-10
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2009, pp.683-685
Publisher
IEEE
Language
English
Type
Conference Paper
Project Code
09MC3200, Hybrid u-Robot Service System Technology Development for u-City, Wonpil Yu
Abstract
This paper deals with the localization for the mobile robot working in the outdoor environments. In this works, Bayesian framework filter (particle filter) is used to estimate the robot position from gathered information in the form of odometer and GPS data. The main goal is to provide reliable position information for the mobile robot operating in outdoor environment. To show the feasibility of the particle filter algorithm, we have implemented an experimental system with the common GPS. Experimental results show that the proposed particle filter has improved the localization performance of GPS in the outdoor environments.
KSP Keywords
Gps data, Localization performance, Localization systems, Mobile robots, Outdoor environments, Outdoor localization, Particle Filter algorithm, Position information, bayesian framework, robot position