Application of Particle Filters to a Map-Matching Algorithm
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Details
| Original language | English |
|---|---|
| Pages (from-to) | 285-292 |
| Journal | Gyroscopy and Navigation |
| Volume | 2 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2011 |
| Publication type | A1 Journal article-refereed |
Abstract
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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Field of science, Statistics Finland
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