Optimal Estimation in Dynamic Systems ~ Lecture 8 (part 1 of 4)
Beril Sirmacek & William Kallfelz
beril sirmacekbiasedcorrelationcoursecovariancecovariance matrixdynamic systemseigen vectorekfestimationextended kalmanferdi van der heijdenfilteriterated kalmankalmanlecturelinear systemslinearized kalmanlmmsnavigationoptimal estimationparticle filterpath planningposteriorpriorprobability densityrandom vectorsslamtrackingunbiaseduniversity of twenteunscented kalman
This lecture was recorded on 21st May 2019.
It is presented by Beril Sirmacek at University of Twente Robotics and Mechatronics group.
Lecture 8 covers:
- Linearized Kalman Filter
- Extended Kalman Filter
- Iterated Extended Kalman Filter
- Particle filter
For further questions about this course: Ferdi van der Heijden: F.vanderHeijden@utwente.nl Beril Sirmacek: B.Sirmacek@utwente.nl
My personal website:
http://www.BerilSirmacek.com
Linkedin profile:
https://www.linkedin.com/in/beril-sirmacek-8ba1328/
Follow me on Twitter:
https://twitter.com/berilsirmacek
...
https://www.youtube.com/watch?v=y_MtE6wyMTE
2022-07-20
0.0 LBC
Copyrighted (contact publisher)
423449911 Bytes