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학술대회 Fast Bayesian Tracking for Location Estimation by Grid-based Method
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저자
김완희, 이숙진
발행일
201210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2012, pp.113-116
DOI
https://dx.doi.org/10.1109/ICTC.2012.6386792
협약과제
12PC1200, 5m 정밀도의 증강현실 서비스 지원 LBS 플랫폼 개발, 박상준
초록
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 제안 키워드
Bayesian method, Computational complexity, Computing power, Dead reckoning, GPS location, Grid-based algorithm, Grid-based methods, Location Estimation, Markov localization, Mobile devices, Non-gaussian