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Conference Paper
Fast Bayesian Tracking for Location Estimation by Grid-based Method
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- Authors
- Wanhee Kim, Sook-Jin Lee
- Issue Date
- 2012-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2012, pp.113-116
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- With increasing demand on location estimation, Bayesian tracking algorithm for mobile devices that requires low computing power is needed. By nonlinear/non-Gaussian Bayesian methods, grid-based methods are considered inefficient compared with the particle filters. We propose fast grid-based Markov localization algorithm by reducing the computational complexity of grid-based method. The fusion of dead reckoning and GPS location simulation shows that fast grid-based algorithm shows better performance on both location accuracy and time requirement. © 2012 IEEE.
- KSP Keywords
- Bayesian Methods, Computational complexity, Computing power, Dead reckoning, GPS location, Grid-based algorithm, Grid-based methods, Location Estimation, Location accuracy, Markov localization, Mobile devices