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Application of Particle Filters to a Map-Matching Algorithm

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Original languageEnglish
Pages (from-to)285-292
JournalGyroscopy and Navigation
Issue number4
Publication statusPublished - 2011
Publication typeA1 Journal article-refereed


This paper presents the numerical probabilistic approach to map-matching problem within the framework of Bayesian theory. The proposed solution is based on sequential Monte Carlo method, so called particle filtering. This algorithm can be adapted for implementation on real-time portable car navigation systems equipped with GPS or dead reckoning sensors. The algorithm reliability and accuracy performance was investigated using simulated data and data from real-world driving tests in urban environment.

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