Application of Particle Filters to a Map-Matching Algorithm
Davidson, Pavel; Collin, Jussi; Takala, Jarmo (2011)
Davidson, Pavel
Collin, Jussi
Takala, Jarmo
2011
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201201121007
https://urn.fi/URN:NBN:fi:tty-201201121007
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [16929]