A Robust Deadzone Compensation Method Against Parameter Variations based on Kalman Filter and Neural Networks.
Le PeiLiyi LiJiaxi LiuZhenxing ChengQingbo GuoHongchen LiuPublished in: IECON (2021)
Keyphrases
- kalman filter
- kalman filtering
- neural network
- computationally efficient
- objective function
- computer vision
- random sample consensus
- particle filter
- three dimensional
- artificial neural networks
- dynamic programming
- input data
- maximum likelihood
- pattern recognition
- similarity measure
- feature extraction
- target tracking
- robust tracking
- tracking framework
- image processing