Next MISSy Test

On July, 28th we had our next test with MISSy. This time our second approach of our steering concept as well as the GPS module in KiRAT were tested in terms of hard- and software. Furthermore, we decided to go to an (for us) unknown beach area and see if we were able to put MISSy quickly and savely into water.

The "water test" including the test of our trailor extenstion was very successful. Everythink works as expected. However, we still had some ideas for further improvements - as usual.

Also the GPS module works as expected. We guess that we had an average error of 1 to 3 m, which is o.k. for us. Special thanks to Frederik Kühne, who implemented the GPS module as part of his Bachelor thesis. However, while using the module some ideas for further improvments came up.

Our new steering concept works much better comparted to the previous one. However, since rather strong forces appeare when steering MISSy our gear transmission was not strong enough. Well, something to do for the next test. Anyhow, we had a lot of fun while performing this next MISSy test.

Basic Idea of RED

RED (robust and efficient DSP) is a collection of algorithms that should help engineers to implement basic signal processign tasks in - as the name states - a robust and efficient way. This includes mainly numerical aspects.

 

 

The RED collection is available as a conventional book (or book-like pdf document), but also as an html version with code snippets.

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

How to find us

Recent News

TensorFlow and Escape Rooms

The last two days (Monday and Tuesday, September 16 and 17, 2019), the whole DSS team did a course on TensorFlow and Keras. Since we already have interfaces of TensorFlow to our real-time tool KiRAT, it was time now to extend our knowledge on graphs and the corresponding training of weights, biases, etc. After two days of hard work we booked two escape rooms and solved the "secrets" hidden in ...


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