Optimal Estimation in Dynamic Systems ~ Lecture 11 (part 3 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 11th June 2019.
It is presented by Ferdi van der Heijden and Beril Sirmacek at University of Twente Robotics and Mechatronics group.
Lecture 11 covers:
- Consistency check
- Smoothing
- Observability
- SLAM
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/
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https://www.youtube.com/watch?v=F-WUsVhpl7U
2022-07-20
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