Improving Accuracy of the Kalman Filter Algorithm in Dynamic Conditions Using ANN-Based Learning Module.
Israr UllahMuhammad FayazDoHyeun KimPublished in: Symmetry (2019)
Keyphrases
- kalman filter
- learning algorithm
- kalman filtering
- computational complexity
- target tracking
- extended kalman filter
- k means
- dynamic programming
- dynamic environments
- rao blackwellized particle filter
- scale factor
- simultaneous localization and mapping
- object tracking
- particle filter
- optimal solution
- expectation maximization
- computationally efficient
- input data
- principal component analysis
- knn
- robust tracking
- state estimation
- artificial neural networks
- object recognition
- state space model
- reinforcement learning