During my Master’s degree, I found a complete tutorial for the quaternion algebra. The authors explained the process of implementing a Kalman filter for attitude estimation with 6 degrees of freedom. In this post, I show an implementation in Matlab. I’ve also made a Python version of the code, so write to me if you want to have it!
I recently wrote this post where I showed how to get started with the latest linux kernel. Now, I learned that you need to freeze in order to use caspa cameras with the gumstix. So after hell of a search, I finally got everything working. I describe what I have done in this post.
Last week, I just received some gumstix stuff. I noticed that the documentation is quite sparse, so I will just tell in this post every problems I went through, plus gives you the links needed to get up and running fast.
I recently spent a lot of time trying to capture videos from multiple webcams at the same time with matlab. I’ll describe what I have found, plus show you some of my code.
I found on StackOverflow a shared class allowing to easily export any data to a file, in a string or in a byte array. Thanks Chris!
Special Thanks to ReedCopsey, Jr. I found that on his website, and it was very helpful.
Suppose you have a class with a public constructor. This class contains a private object that do a lot of stuff you don’t want it to do for unit testing. Here’s an excellent way to do that.
Don’t laugh! That may sound curious (or trivial, if you are a true tester), but why would you repeat the tests for the methods of an abstract class into all of its children? Or worst, why would you write the tests for the methods of an abstract class in only one child? That would not be unit tests and if you remove the children, you remove tests duplication, but you leave the abstract class untested. You don’t want that, so here’s a quick how-to guide:
I was reading a book from Thrun, Burgard and Fox called “Probabilistic Robotics”, when I decided to implement some filtering algorithms found in the book. So here you will find the maltab script to implement a Bayes filter. I implemented this filter following the example 2.4.2, the mobile robot estimating the state of a door.
I was reading a book from Thrun, Burgard and Fox called "Probabilistic Robotics", when I decided to implement some filtering algorithms found in the book. So here you will find the maltab script to implement an unscented Kalman Filter.