CDS 110b: Sensor Fusion: Difference between revisions

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== References and Further Reading ==
== References and Further Reading ==
* {{AM06|Output Feedback}}.  Section 7.4 covers the discrete time Kalman filter.
* {{AM06|Output Feedback}}.  Section 7.4 covers the discrete time Kalman filter.
* [http://en.wikipedia.org/wiki/Kalman_filter Wikipedia entry on the Kalman filter] (very good)
* {{cds110b-wi07 pdfs|gro02_infofilter.pdf|Appendix}} from [http://www.grasp.upenn.edu/~bpg/ Ben Grochalsky's] thesis on information filter.
* {{cds110b-wi07 pdfs|gro02_infofilter.pdf|Appendix}} from [http://www.grasp.upenn.edu/~bpg/ Ben Grochalsky's] thesis on information filter.
* [[NCS:_Kalman_Filtering|CDS 270-2 (Networked Control Systems) page on Kalman Filtering]] - provides additional notes and lecture materials (including some nice references)
* [[NCS:_Kalman_Filtering|CDS 270-2 (Networked Control Systems) page on Kalman Filtering]] - provides additional notes and lecture materials (including some nice references)


== Frequently Asked Questions ==
== Frequently Asked Questions ==

Revision as of 21:20, 24 January 2007

WARNING: This page is for a previous year.
See current course homepage to find most recent page available.
CDS 110b Schedule Project FAQ Reading

In this lecture we discuss discrete time random processes and the discrete time Kalman filter. We use the discrete time formulation to consider problems in (multi-rate) sensor fusion and sensor fusion in the presence of information/packet loss.

Course Materials

References and Further Reading

Frequently Asked Questions