Bayesian Train Localization with Particle Filter, Loosely Coupled GNSS, IMU, and a Track Map.
Oliver HeirichPublished in: J. Sensors (2016)
Keyphrases
- particle filter
- loosely coupled
- rao blackwellized particle filter
- simultaneous localization and mapping
- tracking framework
- proposal distribution
- bayesian inference
- sequential monte carlo
- object tracking
- particle filtering
- tracking scheme
- multiple target tracking
- visual tracking
- web services
- distributed systems
- kalman filter
- bayesian filtering
- data association
- appearance model
- state space
- markov chain monte carlo
- service oriented architecture
- mean shift
- state estimation
- multiple objects
- face tracking
- motion model
- maximum a posteriori
- target tracking
- robust tracking
- multiple hypotheses
- observation model
- unscented kalman filter
- posterior distribution
- feature tracking
- multi target
- mobile robot
- maximum likelihood
- bayesian networks
- extended kalman filter
- multi target tracking
- multiple targets
- bayesian methods
- multi camera
- service oriented
- lightweight
- abrupt motion
- model selection