Difference between revisions of "CDS 110b: Sensor Fusion"
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* {{cds110b-pdfs|kalman.pdf|Lecture Notes on Kalman Filters}} | * {{cds110b-pdfs|kalman.pdf|Lecture Notes on Kalman Filters}} | ||
* Reading: Friedland, Chapter 11 | * Reading: Friedland, Chapter 11 | ||
* {{cds110b-pdfs|hw5.pdf|HW #5}}, due 13 Feb (Mon) | |||
== References and Further Reading == | == References and Further Reading == | ||
== Frequently Asked Questions == | == Frequently Asked Questions == | ||
Revision as of 04:37, 7 February 2006
See current course homepage to find most recent page available. |
| Course Home | L7-2: Sensitivity | L8-1: Robust Stability | L9-1: Robust Perf | Schedule |
In this lecture we show how the Kalman filter can be used for sensor fusion and explore some variations on the basic Kalman filter, including the extended Kalman filter.
Lecture Outline
- Sensor fusion using Kalman filters
- The extended Kalman filter
- Parameter estimation using EKF
Lecture Materials
- Lecture presentation (MP3)
- Lecture Notes on Kalman Filters
- Reading: Friedland, Chapter 11
- HW #5, due 13 Feb (Mon)
