Bayesian Train Localization with Particle Filter, Loosely Coupled GNSS, IMU, and a Track Map
Train localization is safety-critical and therefore the approach requires a continuous availability and a track-selective accuracy. A probabilistic approach is followed up in order to cope with multiple sensors, measurement errors, imprecise information, and hidden variables as the topological posit...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2016-01-01
|
| Series: | Journal of Sensors |
| Online Access: | http://dx.doi.org/10.1155/2016/2672640 |