Abstract:
With increasing demand on location estimation, Bayesian tracking algorithm for mobile devices that requires low computing power is needed. By nonlinear/non-Gaussian Bayes...Show MoreMetadata
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.
Published in: 2012 International Conference on ICT Convergence (ICTC)
Date of Conference: 15-17 October 2012
Date Added to IEEE Xplore: 20 December 2012
ISBN Information: