An Augmented Multiple Imputation Particle Filter for River State Estimation With Missing Observation.
Zool Hilmi IsmailNor Anija JalaludinPublished in: Frontiers Robotics AI (2021)
Keyphrases
- state estimation
- multiple imputation
- particle filter
- missing data
- observation model
- incomplete data
- missing values
- particle filtering
- visual tracking
- object tracking
- kalman filter
- state space
- statistical databases
- dynamic systems
- extended kalman filter
- appearance model
- motion model
- mean shift
- kalman filtering
- estimation problems
- unscented kalman filter
- higher order
- dynamic programming
- proposal distribution
- machine learning
- data association
- target tracking
- high dimensional data
- simultaneous localization and mapping
- learning algorithm