Adaptive Approximate Bayesian Computational Particle Filters for Underwater Terrain Aided Navigation.
Camille PalmierKarim DahiaNicolas MerlingePierre Del MoralDann LaneuvilleChristian MussoPublished in: FUSION (2019)
Keyphrases
- particle filter
- bayesian filtering
- sequential monte carlo
- particle filtering
- visual tracking
- proposal distribution
- bayesian inference
- target tracking
- object tracking
- state estimation
- kalman filter
- multiple object tracking
- underwater vehicles
- mean shift
- markov chain monte carlo
- motion model
- state space
- likelihood function
- bayesian networks
- importance sampling
- autonomous underwater vehicle
- data association
- rough terrain
- simultaneous localization and mapping
- multiple objects
- appearance model
- three dimensional
- machine learning
- quasi monte carlo
- autonomous underwater vehicles
- robust tracking
- robot navigation
- posterior distribution
- graphical models
- image segmentation