Bayesian GNSS/IMU tight integration for precise railway navigation on track map

  title={Bayesian GNSS/IMU tight integration for precise railway navigation on track map},
  author={Omar Garcia Crespillo and Oliver Heirich and Andreas Lehner},
  journal={2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014},
The localization of a train on a railway network with onboard sensors has been usually tackled by matching an estimated position fix on a track map. In this paper, we face the navigation problem directly in the topological domain of the map without computing an initial global position. We develop a tightly coupled scheme to fuse the raw measurement of Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU) and the information of a digital track map. We model this problem… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 22 references

A tutorial on particle filters for online nonlinear/non- Gaussian Bayesian tracking

M. Arulampalam, S. Maskell, N. Gordon, T. Clapp
Signal Processing, IEEE Transactions, vol. 50, no. 2, pp. 174–188, February 2002. • 2002
View 3 Excerpts
Highly Influenced

Matching Raw GPS Measurements on a Navigable Map Without Computing a Global Position

IEEE Transactions on Intelligent Transportation Systems • 2012
View 1 Excerpt

Using recursive Bayesian estimation for matching GPS measurements to imperfect road network data

13th International IEEE Conference on Intelligent Transportation Systems • 2010
View 1 Excerpt

Multi-hypothesis based map-matching algorithm for precise train positioning

2009 12th International Conference on Information Fusion • 2009
View 1 Excerpt

Precision and Availability Evaluation for Road and Rail Localisation Platforms

K. Gerlach, M. Meyer zu Hörste
NAVAGE 2008, March 2008. 1007 • 2008
View 2 Excerpts

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