Kalman Filter – A painless approach

Needless to say but Kalman Filtering is one of the most powerful estimation processes in almost any Engineering field. From robotic vacuums to Satellite Guidance, it is everywhere. Here I will explain the how’s and why’s of the Kalman Filter (KF) in our lives.

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Any decent technological project will use this robust method for the final estimation of the position of any intelligent system. The format of the given information can be, fortunately, represented as a Gaussian state.

Thanks to this property, it is possible to use Gaussian filters (KF is one of them), in order to improve the final estimation.

Gaussian modelling estimations are going to be carried in this explanation, so it is preferable to have this mathematical background (a simple understanding is enough) in order to follow the presented technique. Continue reading

The best Octave tutorial

Yes, as the title says, the best Octave tutorial out there is the one made by Professor Andrew Ng from Stanford. He started his world-famous Coursera almost two years ago. Now is one of the most successful companies in the world, why? Because it really gives what it promises and more: makes you understand Science.

Well, well go deep on it by yourself. These videos down are one of the first videos that Profr. Ng made for the course “Machine Learning”. I took it a year ago in its original website ml-class.org and it amazed me. I understood everything and didn’t have to smash my head to do so.

One of the chapters of his class was about handling Octave, the best free substitute for Matlab. Are you eager to master these computing tools? Dive into Octave next to Professor Ng. I promise you will be also amazed by the clear and concise way he teaches. This, my dear people, is the best Octave tutorial ever:

Part 1:
Continue reading

Build your own 3D Scanner!

Yes, it is possible and you can do it. Actually you don’t have to be a total expert in programming or Maths. Yes yes, you have to know some good stuff, but being a nerd or a genius is not the point.

Gabriel Taubin, an Argentinian Mathematician researching in Brown University is in charge of this project and made it available for everyone, so if you have 3D Computer Vision as your hobby, then this is the perfect start. As I said, you don’t have to be an expert but you need to go deep into it and it will be totally amazing, I promise. Just have a look to the website:

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The final results would be amazing and they provide every kind of tool that you may need. It seems that the used methods vary, but that’s just extra fun. I really encourage you to try it, because it’s cheap, fun and totally useful.

The following video is NOT of the project, but it shows you how accessible is to build your own 3D scanner.

But don’t forget the Kinect, boy!