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 >>
Today’s guest post is by Swarooph Seshadri. Swarooph is MathWorks’ liaison to EcoCar Mobility Challenge which aims to educate the next generation of automotive engineers.
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Student… 더 읽어보기 >>
Sebastian Castro is back to talk about sensors in autonomous systems, supported by a few example algorithms and student competitions that use low-cost hardware platforms.
Introduction
There are many… 더 읽어보기 >>
We regularly hear about the need for HQ tire test data. Teams need it for modeling their vehicles, conducting lap-time simulation or even race-(scenario)-simulations. As we are good with software and… 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 >>
In today’s post, Wojciech Regulski introduces you to modeling fluid dynamics using MATLAB. Wojciech has a PhD in mechanical engineering from Warsaw University of Technology, Poland, and has… 더 읽어보기 >>
Today, allow me to introduce the MathWorks online training on physical modeling, more specifically on vehicle modeling for student teams. I will give an overview of the learning outcomes and share… 더 읽어보기 >>
Today’s cars are incredibly more complex than the vehicles we drove even 10 years ago, and with the move to advanced driver safety features, electric vehicles and autonomous driving there are no… 더 읽어보기 >>
Today, I am happy to introduce Andrea Casadio, he is a junior mechanical engineer and first-time guest in this blog. Andrea is going to describe his thesis work at Politecnico di Torino in which he… 더 읽어보기 >>
