A Cost-Effective Vehicle Localization Solution Using an Interacting Multiple Model-Unscented Kalman Filters (IMM-UKF) Algorithm and Grey Neural Network.
Qimin XuXu LiChing-Yao ChanPublished in: Sensors (2017)
Keyphrases
- kalman filter
- cost effective
- interacting multiple model
- particle filter
- state estimation
- data association
- neural network
- optimal solution
- kalman filtering
- estimation algorithm
- target tracking
- object tracking
- unscented kalman filter
- extended kalman filter
- particle filtering
- learning algorithm
- dynamic programming
- search space
- rao blackwellized particle filter
- visual tracking
- low cost
- computational complexity
- maneuvering target
- mean shift
- simultaneous localization and mapping
- cost effectiveness
- feature space
- particle filtering algorithm
- image segmentation