Our previous blog post, walked us through using MATLAB to label data, and design deep neural networks, as well as importing third-party pre-trained networks. We trained a YOLOv2 network to identify… 더 읽어보기 >>

In this post, Jean-Paul Marcade talks about how MathWorks tools are helping teams at La Coupe de France de Robotique and Eurobot robotics competitions. Jean-Paul is in the Engineering Development… 더 읽어보기 >>

Today’s guest post is by Maitreyee Mordekar. Maitreyee is in charge of the MathWorks student drone competitions. She’ll announce the MathWorks Minidrone Competition and share essential information… 더 읽어보기 >>

This post is the first of a loose series in the racing lounge blog featuring highlights of the AutoDrive Challenge™, especially those around modeling and simulation.

Figure: Panoramic photo of all… 더 읽어보기 >>

I would like to start by wishing all of you a Happy New Year! In the spirit of the New Year and trying out new things we want to introduce you to our latest series of student competition tutorials on… 더 읽어보기 >>

Today’s guest post is by Maximilian Mühlbauer. Maximilian was head of autonomous driving at TUfast Eco for the last season and will share their autonomous journey for the 2018 Shell… 더 읽어보기 >>

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Today’s guest post is by Maitreyee Mordekar. Maitreyee is in charge of the MathWorks student drone competitions. She’ll be sharing first hand experience from an event where students were… 더 읽어보기 >>

Today,  Jose Avendano Arbelaez shares another guest post with us. Make sure you let us know your thoughts in the comments section.
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Robotics programmers have been putting more emphasis on… 더 읽어보기 >>

A Unique Support Package
Speedgoat and MathWorks are offering a unique support package to select Formula Student teams.
Apply now: speedgoat.com/company/formula-student-sponsoring

Some… 더 읽어보기 >>