Electric and Autonomous Driving with MATLAB and Simulink
|Start Time||End Time|
|13 Apr 2023, 11:00 EDT||13 Apr 2023, 12:15 EDT|
Do you know that more than 60+ Universities in Italy have access to the latest version of MATLAB, Simulink and all toolboxes developed by MathWorks for research and teaching?
MATLAB is rooted in the development of latest technological innovations, historically enabling world-wide researchers and institutions to achieve their goals.
In this webinar, attendees will learn how MathWorks tools fit together to support your research workflow in electric and autonomous driving applications. Attendees will get a panoramic view of the different available products and ready-to-use contents/demos.
You will be guided from moving your first steps in Simulink and Simscape to an easy model of a battery electric vehicle with a cooling system for the motor (used to size mechanical, electrical, and fluid components in the vehicle).
The full autonomous driving workflow is supported in the MathWorks platform from authoring scenes and scenarios for driving simulation with tools like Roadrunner, passing through sensors and vehicle dynamics simulation, and finally to code generation and deployment in C, C++, GPU, and ROS.
Different user stories will be presented with the aim to inspire new curriculum integrations under the support of the MathWorks Academia Team.
- Access and tools at Campus-Wide-License Universities
- MATLAB, Simulink and Simscape
- First steps in Simulink and Simscape
- Your first battery electric vehicle model
- Autonomous driving workflow: from simulation to code generation
- Roadrunner overview
- User Stories
Who Should Attend
Professors, researchers or students
About the Presenter
Marco Rossi is member of the MathWorks Academia Team and supports lecturers and researchers in the use of MATLAB and Simulink for teaching and research. Since 2020, Marco runs research development projects in South Africa, Turkey, Hungary, and many other Universities in East Europe. Marco graduated in Aeronautical Engineering from La Sapienza in Rome. Since 2015 he worked as Assistant Researcher at TU Dresden in Germany, where in 2019 he obtained a PhD in Mechanical Engineering due to his work on modeling and simulation of soft materials. Marco taught several courses during his academic experience including statics and intelligent materials.
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