Sensor Fusion Based on an Integrated Neural Network and Probability Density Function (PDF) Dual Kalman Filter for On-Line Estimation of Vehicle Parameters and States.
Leandro Vargas-MeléndezBeatriz L. BoadaMaría Jesús López BoadaAntonio GauchíaVicente DíazPublished in: Sensors (2017)
Keyphrases
- probability density function
- kalman filter
- sensor fusion
- adaptive kalman filter
- update equations
- extended kalman filter
- neural network
- parzen window
- density estimation
- probability density
- density function
- kalman filtering
- probability distribution
- state estimation
- em algorithm
- expectation maximization
- mobile robot
- probability distribution functions
- real time
- mixture model
- inertial sensors
- object tracking
- parameter estimation
- bayesian framework
- particle filter
- particle filtering
- gaussian mixture model
- statistical methods
- generalized gaussian
- mean shift
- probability distribution function
- pattern recognition
- multi sensor
- monitoring system
- back propagation
- maximum likelihood
- estimation accuracy
- low dimensional
- estimation process
- dynamic programming