This paper proposes a fusion framework to locate trains travelling on track routes. The input data are gained from two independent sensor devices, namely, a Global Navigation Satellite System and an eddy current sensor device. The sensor data are fused by an Extended Kalman Filter gaining precise information about the train location. This positioning system combines the sensor devices with the fusion approach to perform a robust location even in the case of noise or when a sensor fault occurs. Additionally, some future fusion strategies to extend the existing location system are presented.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.