Towards Robust State Estimation by Boosting the Maximum Correntropy Criterion Kalman Filter With Adaptive Behaviors.
Seyed Abolfazl FakoorianAngel Santamaria-NavarroBrett Thomas LopezDan SimonAli-akbar Agha-mohammadiPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- state estimation
- kalman filter
- kalman filtering
- robust tracking
- particle filter
- state space model
- extended kalman filter
- object tracking
- target tracking
- feature selection
- adaptive kalman filter
- tracking framework
- particle filtering
- visual tracking
- data association
- dynamic systems
- mean shift
- unscented kalman filter
- machine learning
- simultaneous localization and mapping
- image processing