CDS 110b: Sensor Fusion: Difference between revisions
From Murray Wiki
Jump to navigationJump to search
No edit summary |
|||
Line 33: | Line 33: | ||
|} | |} | ||
<p> | <p> | ||
* {{cds110b-wi08 pdfs | * {{cds110b-wi08 pdfs|L8-1_fusion.pdf|Lecture notes on sensor fusion}} | ||
* {{cds110b-wi08 pdfs | * {{cds110b-wi08 pdfs|L8-2_fusion.pdf|Lecture slides on information filters}} | ||
* {{cds110b-wi08 pdfs | * {{cds110b-wi08 pdfs|hw7.pdf|HW #7}} (due 5 Mar 08) | ||
</p> | </p> | ||
Revision as of 03:12, 2 March 2008
CDS 110b | Schedule | Project | Course Text |
In this set of lectures 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. We also introduce the information filter, which provides a particularly simple method for sensor fusion.
Monday
|
Wednesday
|
References and Further Reading
- R. M. Murray, Optimization-Based Control. Preprint, 2008: Chapter 5 - Sensor Fusion
- Appendix from Ben Grochalsky's thesis on information filter.
- CDS 270-2 (Networked Control Systems) page on Kalman Filtering - provides additional notes and lecture materials (including some nice references)