Unscented Kalman filter with stable embedding for simple, accurate and computationally efficient state estimation of systems on manifolds in Euclidean space.
Jae-Hyeon ParkDong Eui ChangPublished in: CoRR (2022)
Keyphrases
- euclidean space
- state estimation
- unscented kalman filter
- computationally efficient
- vector space
- extended kalman filter
- shape analysis
- metric space
- embedding space
- kalman filter
- low dimensional
- visual tracking
- euclidean distance
- data points
- complex systems
- particle filtering
- kalman filtering
- particle filter
- dynamic systems
- neural network
- bayesian framework
- similarity search
- high dimensional
- image processing