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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
- 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 System, Localization performance, Mobile robots, Outdoor Localization, Outdoor environments, Particle Filter algorithm, Position information, bayesian framework, robot position