Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with Search options answers only user 983

A Kalman filter is an optimal estimator for linear dynamical systems with Gaussian noise. Extensions to non-linear systems are included through the Extended KF and Unscented KF.

3
votes
If you are looking for a source to get an intuitive feeling for what the Kalman Filter is actually doing I would suggest going through lesson 2 of Udacity's Artificial Intelligence for Robotics course …
answered Mar 28 '13 by ddevaz
3
votes
There will be no control input term. You should take (x, xdot) as your state vector to formulate the Kalman filter properly. The primary sources of noise are the compass and the gyroscope. The gyrosc …
answered Aug 20 '13 by ddevaz
2
votes
For both states, you are using sensors to give you the required information. One way to make this work properly: Use the gyroscope reading for your ω and your previous state estimate for your θ (or …
answered Aug 20 '13 by ddevaz