Track-constrained GNSS/odometer-based train localization using a particle filter.
Jiang LiuBaigen CaiJian WangPublished in: Intelligent Vehicles Symposium (2016)
Keyphrases
- particle filter
- rao blackwellized particle filter
- simultaneous localization and mapping
- tracking framework
- multiple target tracking
- object tracking
- particle filtering
- visual tracking
- tracking scheme
- data association
- monte carlo
- state space
- mean shift
- motion model
- kalman filter
- state estimation
- target tracking
- robust tracking
- likelihood function
- multiple objects
- multi target tracking
- robust visual tracking
- multiple object tracking
- observation model
- sequential monte carlo
- multiple hypotheses
- importance sampling
- moving object tracking
- multi target
- mobile robot
- face tracking
- appearance model
- extended kalman filter
- search algorithm
- markov chain monte carlo
- proposal distribution
- parameter estimation
- articulated body
- multiple targets
- learning algorithm
- multiple hypothesis
- video sequences